331 citations · 1.9k across the 20 of their papers we have counts for
3 papers · 2 filters
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
Bo Hu, Ye Tang, Eric I-Chao Chang +3
The visual attributes of cells, such as the nuclear morphology and chromatin openness, are critical for histopathology image analysis. By learning cell-level visual representation,…
Unsupervised End-to-end Learning for Deformable Medical Image Registration
Siyuan Shan, Wen Yan, Xiaoqing Guo +3
We propose a registration algorithm for 2D CT/MRI medical images with a new unsupervised end-to-end strategy using convolutional neural networks. The contributions of our algorithm…
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Zhipeng Jia, Xingyi Huang, Eric I-Chao Chang +1
In this paper, we develop a new weakly-supervised learning algorithm to learn to segment cancerous regions in histopathology images. Our work is under a multiple instance learning…