3 papers
cs.CV2023
Improving Representation Learning for Histopathologic Images with Cluster Constraints
Weiyi Wu, Chongyang Gao, Joseph DiPalma +2
Recent advances in whole-slide image (WSI) scanners and computational capabilities have significantly propelled the application of artificial intelligence in histopathology slide a…
cs.CV2022
HistoPerm: A Permutation-Based View Generation Approach for Improving Histopathologic Feature Representation Learning
Joseph DiPalma, Lorenzo Torresani, Saeed Hassanpour
Deep learning has been effective for histology image analysis in digital pathology. However, many current deep learning approaches require large, strongly- or weakly-labeled images…
eess.IV2021
Resolution-Based Distillation for Efficient Histology Image Classification
Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe +2
Developing deep learning models to analyze histology images has been computationally challenging, as the massive size of the images causes excessive strain on all parts of the comp…