7 citations · 8 across the 8 of their papers we have counts for
3 papers · 1 filter
Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy
Boyuan Peng, Jiaju Chen, P. Bilha Githinji +9
Cell segmentation is essential in biomedical research for analyzing cellular morphology and behavior. Deep learning methods, particularly convolutional neural networks (CNNs), have…
Harnessing Intra-group Variations Via a Population-Level Context for Pathology Detection
P. Bilha Githinji, Xi Yuan, Zhenglin Chen +8
Realizing sufficient separability between the distributions of healthy and pathological samples is a critical obstacle for pathology detection convolutional models. Moreover, these…
RCMNet: A deep learning model assists CAR-T therapy for leukemia
Ruitao Zhang, Xueying Han, Ijaz Gul +8
Acute leukemia is a type of blood cancer with a high mortality rate. Current therapeutic methods include bone marrow transplantation, supportive therapy, and chemotherapy. Although…