5 citations · 6 across the 2 of their papers we have counts for
5 papers
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review
Guangliang Cheng, Yunmeng Huang, Xiangtai Li +4
Change detection is an essential and widely utilized task in remote sensing that aims to detect and analyze changes occurring in the same geographical area over time, which has bro…
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning
Ellery Wulczyn, David F. Steiner, Melissa Moran +20
Deriving interpretable prognostic features from deep-learning-based prognostic histopathology models remains a challenge. In this study, we developed a deep learning system (DLS) f…
Deep learning-based survival prediction for multiple cancer types using histopathology images
Ellery Wulczyn, David F. Steiner, Zhaoyang Xu +7
Prognostic information at diagnosis has important implications for cancer treatment and monitoring. Although cancer staging, histopathological assessment, molecular features, and c…
US-net for robust and efficient nuclei instance segmentation
Zhaoyang Xu, Faranak Sobhani, Carlos Fernandez Moro +1
We present a novel neural network architecture, US-Net, for robust nuclei instance segmentation in histopathology images. The proposed framework integrates the nuclei detection and…
GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis
Zhaoyang Xu, Xingru Huang, Carlos Fernández Moro +2
Histopathological cancer diagnosis is based on visual examination of stained tissue slides. Hematoxylin and eosin (H\&E) is a standard stain routinely employed worldwide. It is eas…