← Search

Tahsin M. Kurc

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 160PDF ↗Scholar ↗
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 886PDF ↗Scholar ↗