DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT

Yi Lu, Hongjian Gao, Jikuan Qiu, Zihan Qiu, Junxiu Liu, Xiangzhi Bai

Abstract: Highlights•Innovative Network Design: Design of DSIFNet for precise and automatic segmentation of nasal cavity and vestibule from 3D CT.•Advanced Feature Extraction: Incorporation of the LGPI-IFF to enhance cross-scale feature extraction and fusion.•Novel Deep Supervision Framework: The deep supervision framework based on LGPI-IFF optimizes multi-scale feature utilization.•Extensive Dataset: Construction of a dataset with 7116 CT for pretraining and 128 annotated CT for training and evaluation.•SOTA Performance: Achieved high accuracy and robustness in nasal cavity and vestibule segmentation via cross-validation.