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Joel H. Saltz

2 accepted papers

2019

Robust Histopathology Image Analysis: To Label or to Synthesize?

CVPR 2019oral

Detection, segmentation and classification of nuclei are fundamental analysis operations in digital pathology. Existing state-of-the-art approaches demand extensive amount of supervised training data from pathologists and may still perform poorly in images from unseen tissue types. We propose an uns…

Cited by 160PDFScholar
2016

Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification

CVPR 2016spotlight

Convolutional Neural Networks (CNN) are state-of-the-art models for many image classification tasks. However, to recognize cancer subtypes automatically, training a CNN on gigapixel resolution Whole Slide Tissue Images (WSI) is currently computationally impossible. The differentiation of cancer subt…

Cited by 1032PDFScholar