Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations

25 May 2018

Papers citing "Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations"

3 / 3 papers shown

Title
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning Nassim Bouteldja B. Klinkhammer Tarek Schlaich P. Boor Dorit Merhof MedIm 29 20 0 16 Dec 2021
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends Naira Elazab Hassan H. Soliman Shaker El-Sappagh S. Islam Mohammed M Elmogy 17 20 0 10 Nov 2020
PathologyGAN: Learning deep representations of cancer tissue A. Quiros R. Murray-Smith Ke-Fei Yuan MedIm GAN 4 84 0 04 Jul 2019