2k citations · 7k across the 39 of their papers we have counts for
3 papers · 1 filter
Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin +2
In this work we present a novel system for PET estimation using CT scans. We explore the use of fully convolutional networks (FCN) and conditional generative adversarial networks (…
Modeling the Intra-class Variability for Liver Lesion Detection using a Multi-class Patch-based CNN
Maayan Frid-Adar, Idit Diamant, Eyal Klang +3
Automatic detection of liver lesions in CT images poses a great challenge for researchers. In this work we present a deep learning approach that models explicitly the variability w…
Domain-adversarial neural networks to address the appearance variability of histopathology images
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof +2
Preparing and scanning histopathology slides consists of several steps, each with a multitude of parameters. The parameters can vary between pathology labs and within the same lab…