C-NMC 2019 | C_NMC_2019 Dataset: ALL Challenge dataset of ISBI 2019

Simmi Mourya, Sonaal Kant, Pulkit Kumar, Anubha Gupta, Ritu Gupta

Abstract: Acute lymphoblastic leukemia (ALL) constitutes approximately 25 of the pediatric cancers. In general, the task of identifying immature leukemic blasts from normal cells under the microscope is challenging because morphologically the images of the two cells appear similar. In this paper, we propose a deep learning framework for classifying immature leukemic blasts and normal cells. The proposed model combines the Discrete Cosine Transform (DCT) domain features extracted via CNN with the Optical Density (OD) space features to build a robust classifier. Elaborate experiments have been conducted to validate the proposed LeukoNet classifier.