198 citations · 351 across the 25 of their papers we have counts for
3 papers · 1 filter
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…
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning
Sean Xie, Soroush Vosoughi, Saeed Hassanpour
Artificial intelligence, particularly through recent advancements in deep learning, has achieved exceptional performances in many tasks in fields such as natural language processin…
Calibrating Histopathology Image Classifiers using Label Smoothing
Jerry Wei, Lorenzo Torresani, Jason Wei +1
The classification of histopathology images fundamentally differs from traditional image classification tasks because histopathology images naturally exhibit a range of diagnostic…