2 citations · 2 across the 2 of their papers we have counts for
3 papers
q-bio.QM2026
In-batch Relational Features Enhance Precision in An Unsupervised Medical Anomaly Detection Task
P. Bilha Githinji, Ijaz Gul, Lian Zhang +3
Confounding pathology with normal anatomical variation remains a significant challenge in unsupervised medical-image anomaly detection, resulting in numerous false positives. To en…
eess.IV2024
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…
cs.CV2023★ 2 cited
Ammonia-Net: A Multi-task Joint Learning Model for Multi-class Segmentation and Classification in Tooth-marked Tongue Diagnosis
Shunkai Shi, Yuqi Wang, Qihui Ye +5
In Traditional Chinese Medicine, the tooth marks on the tongue, stemming from prolonged dental pressure, serve as a crucial indicator for assessing qi (yang) deficiency, which is i…