% OUR REFERENCES
@inbook{unet,
  title = {U-Net: Convolutional Networks for Biomedical Image Segmentation},
  ISBN = {9783319245744},
  ISSN = {1611-3349},
  url = {http://doi.org/10.1007/978-3-319-24574-4_28},
  DOI = {10.1007/978-3-319-24574-4_28},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015},
  publisher = {Springer International Publishing},
  author = {Ronneberger,  Olaf and Fischer,  Philipp and Brox,  Thomas},
  year = {2015},
  pages = {234–241}
}

@inproceedings{stardist-histopatho,
  title = {Nuclei Instance Segmentation and Classification in Histopathology Images with Stardist},
  url = {http://doi.org/10.1109/ISBIC56247.2022.9854534},
  DOI = {10.1109/isbic56247.2022.9854534},
  booktitle = {2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC)},
  publisher = {IEEE},
  author = {Weigert,  Martin and Schmidt,  Uwe},
  year = {2022},
  month = mar,
  pages = {1–4}
}

@article{hovernet,
  title = {Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images},
  volume = {58},
  ISSN = {1361-8415},
  url = {http://doi.org/10.1016/j.media.2019.101563},
  DOI = {10.1016/j.media.2019.101563},
  journal = {Medical Image Analysis},
  publisher = {Elsevier BV},
  author = {Graham,  Simon and Vu,  Quoc Dang and Raza,  Shan E Ahmed and Azam,  Ayesha and Tsang,  Yee Wah and Kwak,  Jin Tae and Rajpoot,  Nasir},
  year = {2019},
  month = dec,
  pages = {101563}
}

@InProceedings{sam,
  author = {Kirillov, Alexander and Mintun, Eric and Ravi, Nikhila and Mao, Hanzi and Rolland, Chloe and Gustafson, Laura and Xiao, Tete and Whitehead, Spencer and Berg, Alexander C. and Lo, Wan-Yen and Dollar, Piotr and Girshick, Ross},
  title = {Segment Anything},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  month = {October},
  year = {2023},
  pages = {4015-4026},
  url = {https://openaccess.thecvf.com/content/ICCV2023/html/Kirillov_Segment_Anything_ICCV_2023_paper.html},
}

@article{micro-sam,
  title = {Segment Anything for Microscopy},
  volume = {22},
  ISSN = {1548-7105},
  url = {http://doi.org/10.1038/s41592-024-02580-4},
  DOI = {10.1038/s41592-024-02580-4},
  number = {3},
  journal = {Nature Methods},
  publisher = {Springer Science and Business Media LLC},
  author = {Archit,  Anwai and Freckmann,  Luca and Nair,  Sushmita and Khalid,  Nabeel and Hilt,  Paul and Rajashekar,  Vikas and Freitag,  Marei and Teuber,  Carolin and Buckley,  Genevieve and von Haaren,  Sebastian and Gupta,  Sagnik and Dengel,  Andreas and Ahmed,  Sheraz and Pape,  Constantin},
  year = {2025},
  month = feb,
  pages = {579–591}
}

@inproceedings{seem,
  author = {Zou, Xueyan and Yang, Jianwei and Zhang, Hao and Li, Feng and Li, Linjie and Wang, Jianfeng and Wang, Lijuan and Gao, Jianfeng and Lee, Yong Jae},
  title = {Segment everything everywhere all at once},
  year = {2024},
  publisher = {Curran Associates Inc.},
  address = {Red Hook, NY, USA},
  booktitle = {Proceedings of the 37th International Conference on Neural Information Processing Systems},
  articleno = {868},
  numpages = {14},
  location = {New Orleans, LA, USA},
  series = {NIPS '23},
  url = {https://openreview.net/forum?id=UHBrWeFWlL}
}

@article{qupath,
  title = {QuPath: Open source software for digital pathology image analysis},
  volume = {7},
  ISSN = {2045-2322},
  url = {http://doi.org/10.1038/s41598-017-17204-5},
  DOI = {10.1038/s41598-017-17204-5},
  number = {1},
  journal = {Scientific Reports},
  publisher = {Springer Science and Business Media LLC},
  author = {Bankhead,  Peter and Loughrey,  Maurice B. and Fernández,  José A. and Dombrowski,  Yvonne and McArt,  Darragh G. and Dunne,  Philip D. and McQuaid,  Stephen and Gray,  Ronan T. and Murray,  Liam J. and Coleman,  Helen G. and James,  Jacqueline A. and Salto-Tellez,  Manuel and Hamilton,  Peter W.},
  year = {2017},
  month = dec 
}

@article{medsam,
  title = {Segment anything in medical images},
  volume = {15},
  ISSN = {2041-1723},
  url = {http://doi.org/10.1038/s41467-024-44824-z},
  DOI = {10.1038/s41467-024-44824-z},
  number = {1},
  journal = {Nature Communications},
  publisher = {Springer Science and Business Media LLC},
  author = {Ma,  Jun and He,  Yuting and Li,  Feifei and Han,  Lin and You,  Chenyu and Wang,  Bo},
  year = {2024},
  month = jan 
}

@article{biomedparse,
  title = {A foundation model for joint segmentation,  detection and recognition of biomedical objects across nine modalities},
  ISSN = {1548-7105},
  url = {http://doi.org/10.1038/s41592-024-02499-w},
  DOI = {10.1038/s41592-024-02499-w},
  journal = {Nature Methods},
  publisher = {Springer Science and Business Media LLC},
  author = {Zhao,  Theodore and Gu,  Yu and Yang,  Jianwei and Usuyama,  Naoto and Lee,  Ho Hin and Kiblawi,  Sid and Naumann,  Tristan and Gao,  Jianfeng and Crabtree,  Angela and Abel,  Jacob and Moung-Wen,  Christine and Piening,  Brian and Bifulco,  Carlo and Wei,  Mu and Poon,  Hoifung and Wang,  Sheng},
  year = {2024},
  month = nov 
}

@article{cellvit,
  title = {CellViT: Vision Transformers for precise cell segmentation and classification},
  volume = {94},
  ISSN = {1361-8415},
  url = {http://doi.org/10.1016/j.media.2024.103143},
  DOI = {10.1016/j.media.2024.103143},
  journal = {Medical Image Analysis},
  publisher = {Elsevier BV},
  author = {H\"{o}rst,  Fabian and Rempe,  Moritz and Heine,  Lukas and Seibold,  Constantin and Keyl,  Julius and Baldini,  Giulia and Ugurel,  Selma and Siveke,  Jens and Gr\"{u}nwald,  Barbara and Egger,  Jan and Kleesiek,  Jens},
  year = {2024},
  month = may,
  pages = {103143}
}

@article{dl-for-histopatho,
  title = {Deep learning in histopathology: the path to the clinic},
  volume = {27},
  ISSN = {1546-170X},
  url = {http://doi.org/10.1038/s41591-021-01343-4},
  DOI = {10.1038/s41591-021-01343-4},
  number = {5},
  journal = {Nature Medicine},
  publisher = {Springer Science and Business Media LLC},
  author = {van der Laak,  Jeroen and Litjens,  Geert and Ciompi,  Francesco},
  year = {2021},
  month = may,
  pages = {775–784}
}

@inproceedings{hoverunet,
  title = {“HoVer-UNet”: Accelerating Hovernet with Unet-Based Multi-Class Nuclei Segmentation Via Knowledge Distillation},
  url = {http://doi.org/10.1109/ISBI56570.2024.10635755},
  DOI = {10.1109/isbi56570.2024.10635755},
  booktitle = {2024 IEEE International Symposium on Biomedical Imaging (ISBI)},
  publisher = {IEEE},
  author = {Tommasino,  Cristian and Russo,  Cristiano and Rinaldi,  Antonio Maria and Ciompi,  Francesco},
  year = {2024},
  month = may,
  pages = {1–4}
}

@misc{instanseg,
  doi = {10.48550/ARXIV.2408.15954},
  url = {https://arxiv.org/abs/2408.15954},
  author = {Goldsborough,  Thibaut and Philps,  Ben and O'Callaghan,  Alan and Inglis,  Fiona and Leplat,  Leo and Filby,  Andrew and Bilen,  Hakan and Bankhead,  Peter},
  keywords = {Computer Vision and Pattern Recognition (cs.CV),  FOS: Computer and information sciences,  FOS: Computer and information sciences},
  title = {InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate,  efficient and portable cell segmentation},
  publisher = {arXiv},
  year = {2024},
  copyright = {Creative Commons Attribution 4.0 International}
}

@misc{napari,
  doi = {10.5281/ZENODO.14427406},
  url = {https://zenodo.org/doi/10.5281/zenodo.14427406},
  author = {Sofroniew,  Nicholas and Lambert,  Talley and Bokota,  Grzegorz and Nunez-Iglesias,  Juan and Sobolewski,  Peter and Sweet,  Andrew and Gaifas,  Lorenzo and Evans,  Kira and Burt,  Alister and Doncila Pop,  Draga and Yamauchi,  Kevin and Weber Mendon\c{c}a,  Melissa and Buckley,  Genevieve and Vierdag,  Wouter-Michiel and Royer,  Loic and Can Solak,  Ahmet and Harrington,  Kyle I. S. and Ahlers,  Jannis and Althviz Moré,  Daniel and Amsalem,  Oren and Anderson,  Ashley and Annex,  Andrew and Boone,  Peter and Bragantini,  Jordão and Bussonnier,  Matthias and Caporal,  Clément and Eglinger,  Jan and Eisenbarth,  Andreas and Freeman,  Jeremy and Gohlke,  Christoph and Gunalan,  Kabilar and Har-Gil,  Hagai and Harfouche,  Mark and Hilsenstein,  Volker and Hutchings,  Katherine and Lauer,  Jessy and Lichtner,  Gregor and Liu,  Ziyang and Liu,  Lucy and Lowe,  Alan and Marconato,  Luca and Martin,  Sean and McGovern,  Abigail and Migas,  Lukasz and Miller,  Nadalyn and Muñoz,  Hector and M\"{u}ller,  Jan-Hendrik and Nauroth-Kreß,  Christopher and Palecek,  David and Pape,  Constantin and Perlman,  Eric and Pevey,  Kim and Peña-Castellanos,  Gonzalo and Pierré,  Andrea and Pinto,  David and Rodríguez-Guerra,  Jaime and Ross,  David and Russell,  Craig T. and Ryan,  James and Selzer,  Gabriel and Smith,  MB and Smith,  Paul and Sofiiuk,  Konstantin and Soltwedel,  Johannes and Stansby,  David and Vanaret,  Jules and Wadhwa,  Pam and Weigert,  Martin and Windhager,  Jonas and Winston,  Philip and Zhao,  Rubin},
  title = {napari: a multi-dimensional image viewer for Python},
  publisher = {Zenodo},
  year = {2024},
  copyright = {BSD 3-Clause "New" or "Revised" License}
}

@InProceedings{unetr,
    author = {Hatamizadeh, Ali and Tang, Yucheng and Nath, Vishwesh and Yang, Dong and Myronenko, Andriy and Landman, Bennett and Roth, Holger R. and Xu, Daguang},
    title = {UNETR: Transformers for 3D Medical Image Segmentation},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
    month = {January},
    year = {2022},
    pages = {574-584},
    url = {https://openaccess.thecvf.com/content/WACV2022/papers/Hatamizadeh_UNETR_Transformers_for_3D_Medical_Image_Segmentation_WACV_2022_paper}
}

@misc{mobilesam,
  doi = {10.48550/ARXIV.2306.14289},
  url = {https://arxiv.org/abs/2306.14289},
  author = {Zhang,  Chaoning and Han,  Dongshen and Qiao,  Yu and Kim,  Jung Uk and Bae,  Sung-Ho and Lee,  Seungkyu and Hong,  Choong Seon},
  keywords = {Computer Vision and Pattern Recognition (cs.CV),  FOS: Computer and information sciences,  FOS: Computer and information sciences},
  title = {Faster Segment Anything: Towards Lightweight SAM for Mobile Applications},
  publisher = {arXiv},
  year = {2023},
  copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International}
}

@inproceedings{sam2,
    title = {{SAM} 2: Segment Anything in Images and Videos},
    author={Nikhila Ravi and Valentin Gabeur and Yuan-Ting Hu and Ronghang Hu and Chaitanya Ryali and Tengyu Ma and Haitham Khedr and Roman R{\"a}dle and Chloe Rolland and Laura Gustafson and Eric Mintun and Junting Pan and Kalyan Vasudev Alwala and Nicolas Carion and Chao-Yuan Wu and Ross Girshick and Piotr Dollar and Christoph Feichtenhofer},
    booktitle = {The Thirteenth International Conference on Learning Representations},
    year = {2025},
    url = {https://openreview.net/forum?id=Ha6RTeWMd0}
}

@article{dsb,
  title = {Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl},
  volume = {16},
  ISSN = {1548-7105},
  url = {http://doi.org/10.1038/s41592-019-0612-7},
  DOI = {10.1038/s41592-019-0612-7},
  number = {12},
  journal = {Nature Methods},
  publisher = {Springer Science and Business Media LLC},
  author = {Caicedo,  Juan C. and Goodman,  Allen and Karhohs,  Kyle W. and Cimini,  Beth A. and Ackerman,  Jeanelle and Haghighi,  Marzieh and Heng,  CherKeng and Becker,  Tim and Doan,  Minh and McQuin,  Claire and Rohban,  Mohammad and Singh,  Shantanu and Carpenter,  Anne E.},
  year = {2019},
  month = oct,
  pages = {1247–1253}
}

@inproceedings{hovernext,
  title={HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology},
  author={Elias Baumann and Bastian Dislich and Josef Lorenz Rumberger and Iris D. Nagtegaal and Maria Rodriguez Martinez and Inti Zlobec},
  booktitle={Medical Imaging with Deep Learning},
  year={2024},
  url={https://openreview.net/forum?id=3vmB43oqIO}
}

@misc{medico-sam,
  doi = {10.48550/ARXIV.2501.11734},
  url = {https://arxiv.org/abs/2501.11734},
  author = {Archit,  Anwai and Freckmann,  Luca and Pape,  Constantin},
  keywords = {Image and Video Processing (eess.IV),  Computer Vision and Pattern Recognition (cs.CV),  FOS: Electrical engineering,  electronic engineering,  information engineering,  FOS: Electrical engineering,  electronic engineering,  information engineering,  FOS: Computer and information sciences,  FOS: Computer and information sciences},
  title = {MedicoSAM: Towards foundation models for medical image segmentation},
  publisher = {arXiv},
  year = {2025},
  copyright = {Creative Commons Attribution 4.0 International}
}

@article{surgical-sam,
  title = {SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation},
  volume = {38},
  ISSN = {2159-5399},
  url = {http://doi.org/10.1609/aaai.v38i7.28514},
  DOI = {10.1609/aaai.v38i7.28514},
  number = {7},
  journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
  publisher = {Association for the Advancement of Artificial Intelligence (AAAI)},
  author = {Yue,  Wenxi and Zhang,  Jing and Hu,  Kun and Xia,  Yong and Luo,  Jiebo and Wang,  Zhiyong},
  year = {2024},
  month = mar,
  pages = {6890–6898}
}

@article{maceij-simpleft,
  title = {How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model},
  volume = {3},
  ISSN = {2766-905X},
  url = {http://doi.org/10.59275/j.melba.2025-86a6},
  DOI = {10.59275/j.melba.2025-86a6},
  number = {May 2025},
  journal = {Machine Learning for Biomedical Imaging},
  publisher = {Machine Learning for Biomedical Imaging},
  author = {Gu,  Hanxue and Dong,  Haoyu and Yang,  Jichen and Mazurowski,  Maciej A.},
  year = {2025},
  month = may,
  pages = {88–120}
}

@misc{sam-med2d,
  doi = {10.48550/ARXIV.2308.16184},
  url = {https://arxiv.org/abs/2308.16184},
  author = {Cheng,  Junlong and Ye,  Jin and Deng,  Zhongying and Chen,  Jianpin and Li,  Tianbin and Wang,  Haoyu and Su,  Yanzhou and Huang,  Ziyan and Chen,  Jilong and Jiang,  Lei and Sun,  Hui and He,  Junjun and Zhang,  Shaoting and Zhu,  Min and Qiao,  Yu},
  keywords = {Computer Vision and Pattern Recognition (cs.CV),  FOS: Computer and information sciences,  FOS: Computer and information sciences},
  title = {SAM-Med2D},
  publisher = {arXiv},
  year = {2023},
  copyright = {arXiv.org perpetual,  non-exclusive license}
}

@inbook{sam-path,
  title = {SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology},
  ISBN = {9783031474019},
  ISSN = {1611-3349},
  url = {http://doi.org/10.1007/978-3-031-47401-9_16},
  DOI = {10.1007/978-3-031-47401-9_16},
  booktitle = {Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops},
  publisher = {Springer Nature Switzerland},
  author = {Zhang,  Jingwei and Ma,  Ke and Kapse,  Saarthak and Saltz,  Joel and Vakalopoulou,  Maria and Prasanna,  Prateek and Samaras,  Dimitris},
  year = {2023},
  pages = {161–170}
}

@inproceedings{sam-digital-pathology,
    title = {Segment Anything Model ({SAM}) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging},
    author = {Ruining Deng and Can Cui and Quan Liu and Tianyuan Yao and Lucas Walker Remedios and Shunxing Bao and Bennett A. Landman and Yucheng Tang and Lee E. Wheless and Lori A. Coburn and Keith T. Wilson and Yaohong Wang and Agnes B. Fogo and Haichun Yang and Yuankai Huo},
    booktitle = {Medical Imaging with Deep Learning, short paper track},
    year = {2023},
    url = {https://openreview.net/forum?id=lUZGyTRzxq}
}

@misc{nasir-sam,
  doi = {10.48550/ARXIV.2401.14248},
  url = {https://arxiv.org/abs/2401.14248},
  author = {Xu,  Kesi and Goetz,  Lea and Rajpoot,  Nasir},
  keywords = {Image and Video Processing (eess.IV),  Computer Vision and Pattern Recognition (cs.CV),  FOS: Electrical engineering,  electronic engineering,  information engineering,  FOS: Electrical engineering,  electronic engineering,  information engineering,  FOS: Computer and information sciences,  FOS: Computer and information sciences},
  title = {On generalisability of segment anything model for nuclear instance segmentation in histology images},
  publisher = {arXiv},
  year = {2024},
  copyright = {Creative Commons Attribution 4.0 International}
}

@article{cpm,
  title = {Methods for Segmentation and Classification of Digital Microscopy Tissue Images},
  volume = {7},
  ISSN = {2296-4185},
  url = {http://doi.org/10.3389/fbioe.2019.00053},
  DOI = {10.3389/fbioe.2019.00053},
  journal = {Frontiers in Bioengineering and Biotechnology},
  publisher = {Frontiers Media SA},
  author = {Vu,  Quoc Dang and Graham,  Simon and Kurc,  Tahsin and To,  Minh Nguyen Nhat and Shaban,  Muhammad and Qaiser,  Talha and Koohbanani,  Navid Alemi and Khurram,  Syed Ali and Kalpathy-Cramer,  Jayashree and Zhao,  Tianhao and Gupta,  Rajarsi and Kwak,  Jin Tae and Rajpoot,  Nasir and Saltz,  Joel and Farahani,  Keyvan},
  year = {2019},
  month = apr 
}

@InProceedings{lizard,
    author = {Graham, Simon and Jahanifar, Mostafa and Azam, Ayesha and Nimir, Mohammed and Tsang, Yee-Wah and Dodd, Katherine and Hero, Emily and Sahota, Harvir and Tank, Atisha and Benes, Ksenija and Wahab, Noorul and Minhas, Fayyaz and Raza, Shan E. Ahmed and El Daly, Hesham and Gopalakrishnan, Kishore and Snead, David and Rajpoot, Nasir M.},
    title = {Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
    month = {October},
    year = {2021},
    pages = {684-693},
    url = {https://openaccess.thecvf.com/content/ICCV2021W/CDPath/html/Graham_Lizard_A_Large-Scale_Dataset_for_Colonic_Nuclear_Instance_Segmentation_and_ICCVW_2021_paper.html}
}

@article{monuseg,
  title = {A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology},
  volume = {36},
  ISSN = {1558-254X},
  url = {http://doi.org/10.1109/tmi.2017.2677499},
  DOI = {10.1109/tmi.2017.2677499},
  number = {7},
  journal = {IEEE Transactions on Medical Imaging},
  publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
  author = {Kumar,  Neeraj and Verma,  Ruchika and Sharma,  Sanuj and Bhargava,  Surabhi and Vahadane,  Abhishek and Sethi,  Amit},
  year = {2017},
  month = jul,
  pages = {1550–1560}
}

@inproceedings{pannuke,
  title = {PanNuke: an open pan-cancer histology dataset for nuclei instance segmentation and classification},
  author = {Gamper, Jevgenij and Koohbanani, Navid Alemi and Benes, Ksenija and Khuram, Ali and Rajpoot, Nasir},
  booktitle = {European Congress on Digital Pathology},
  pages = {11--19},
  year = {2019},
  organization = {Springer},
  url = {https://doi.org/10.1007/978-3-030-23937-4_2}
}

@article{puma,
  title = {A novel dataset for nuclei and tissue segmentation in melanoma with baseline nuclei segmentation and tissue segmentation benchmarks},
  volume = {14},
  ISSN = {2047-217X},
  url = {http://doi.org/10.1093/gigascience/giaf011},
  DOI = {10.1093/gigascience/giaf011},
  journal = {GigaScience},
  publisher = {Oxford University Press (OUP)},
  author = {Schuiveling,  Mark and Liu,  Hong and Eek,  Daniel and Breimer,  Gerben E and Suijkerbuijk,  Karijn P M and Blokx,  Willeke A M and Veta,  Mitko},
  year = {2025}
}

@article{tnbc,
  title = {Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map},
  volume = {38},
  ISSN = {1558-254X},
  url = {http://doi.org/10.1109/tmi.2018.2865709},
  DOI = {10.1109/tmi.2018.2865709},
  number = {2},
  journal = {IEEE Transactions on Medical Imaging},
  publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
  author = {Naylor,  Peter and Laé,  Marick and Reyal,  Fabien and Walter,  Thomas},
  year = {2019},
  month = feb,
  pages = {448–459}
}

@article{cryonuseg,
  title = {CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H\&E-stained histological images},
  volume = {132},
  ISSN = {0010-4825},
  url = {http://doi.org/10.1016/j.compbiomed.2021.104349},
  DOI = {10.1016/j.compbiomed.2021.104349},
  journal = {Computers in Biology and Medicine},
  publisher = {Elsevier BV},
  author = {Mahbod,  Amirreza and Schaefer,  Gerald and Bancher,  Benjamin and L\"{o}w,  Christine and Dorffner,  Georg and Ecker,  Rupert and Ellinger,  Isabella},
  year = {2021},
  month = may,
  pages = {104349}
}

@article{glas,
  title = {Gland segmentation in colon histology images: The glas challenge contest},
  volume = {35},
  ISSN = {1361-8415},
  url = {http://doi.org/10.1016/j.media.2016.08.008},
  DOI = {10.1016/j.media.2016.08.008},
  journal = {Medical Image Analysis},
  publisher = {Elsevier BV},
  author = {Sirinukunwattana,  Korsuk and Pluim,  Josien P.W. and Chen,  Hao and Qi,  Xiaojuan and Heng,  Pheng-Ann and Guo,  Yun Bo and Wang,  Li Yang and Matuszewski,  Bogdan J. and Bruni,  Elia and Sanchez,  Urko and B\"{o}hm,  Anton and Ronneberger,  Olaf and Cheikh,  Bassem Ben and Racoceanu,  Daniel and Kainz,  Philipp and Pfeiffer,  Michael and Urschler,  Martin and Snead,  David R.J. and Rajpoot,  Nasir M.},
  year = {2017},
  month = jan,
  pages = {489–502}
}

@article{lynsec,
  title = {HoLy-Net: Segmentation of histological images of diffuse large B-cell lymphoma},
  volume = {170},
  ISSN = {0010-4825},
  url = {http://doi.org/10.1016/j.compbiomed.2024.107978},
  DOI = {10.1016/j.compbiomed.2024.107978},
  journal = {Computers in Biology and Medicine},
  publisher = {Elsevier BV},
  author = {Naji,  Hussein and Sancere,  Lucas and Simon,  Adrian and B\"{u}ttner,  Reinhard and Eich,  Marie-Lisa and Lohneis,  Philipp and Bożek,  Katarzyna},
  year = {2024},
  month = mar,
  pages = {107978}
}

@article{monusac,
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}

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  pages = {101771}
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@article{nuinsseg,
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  publisher = {Springer Science and Business Media LLC},
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  year = {2024},
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@inproceedings{vit,
    title={An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale},
    author={Alexey Dosovitskiy and Lucas Beyer and Alexander Kolesnikov and Dirk Weissenborn and Xiaohua Zhai and Thomas Unterthiner and Mostafa Dehghani and Matthias Minderer and Georg Heigold and Sylvain Gelly and Jakob Uszkoreit and Neil Houlsby},
    booktitle={International Conference on Learning Representations},
    year={2021},
    url={https://openreview.net/forum?id=YicbFdNTTy}
}

@article{sugawara2023training,
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  author={Sugawara, Ko},
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  pages={2023--06},
  year={2023},
  publisher={Cold Spring Harbor Laboratory},
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}

@article{zhang2024glandsam,
  title={GlandSAM: Injecting Morphology Knowledge into Segment Anything Model for Label-free Gland Segmentation},
  author={Zhang, Qixiang and Li, Yi and Xue, Cheng and Wang, Haonan and Li, Xiaomeng},
  journal={IEEE Transactions on Medical Imaging},
  year={2024},
  publisher={IEEE},
  url = {https://doi.org/10.1109/TMI.2024.3476176}
}
