3 papers
cs.CV2026
Deep Learning for Generating Computational PIN-4 Immunohistochemistry Staining from Prostate Biopsy H&E Images
Vietbao Tran, Pratik Shah
Immunohistochemistry (IHC)is frequently used to resolve diagnostically ambiguous prostate cancer biopsy findings on hematoxylin and eosin (H&E)-stained tissue. However, PIN-4 IHC s…
cs.CV2026
Generative Deep Learning for Computational Destaining and Restaining of Unregistered Digital Pathology Images
Aarushi Kulkarni, Alarice Lowe, Pratik Shah
Conditional generative adversarial networks (cGANs) have enabled high-fidelity computational staining and destaining of hematoxylin and eosin (H&E) in digital pathology whole-slide…
eess.IV2024
Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images
Audrey Xie, Elhoucine Elfatimi, Sambuddha Ghosal +1
Deep learning models (DLMs) can achieve state-of-the-art performance in histopathology image segmentation and classification, but have limited deployment potential in real-world cl…