277 citations · 278 across the 4 of their papers we have counts for
4 papers
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
Simon Graham, David Epstein, Nasir Rajpoot
Histology images are inherently symmetric under rotation, where each orientation is equally as likely to appear. However, this rotational symmetry is not widely utilised as prior k…
Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features
Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama +4
Tumor segmentation in whole-slide images of histology slides is an important step towards computer-assisted diagnosis. In this work, we propose a tumor segmentation framework based…
Micro-Net: A unified model for segmentation of various objects in microscopy images
Shan E Ahmed Raza, Linda Cheung, Muhammad Shaban +5
Object segmentation and structure localization are important steps in automated image analysis pipelines for microscopy images. We present a convolution neural network (CNN) based…
Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer
Korsuk Sirinukunwattana, David Snead, David Epstein +5
Distant metastasis is the major cause of death in colorectal cancer (CRC). Patients at high risk of developing distant metastasis could benefit from appropriate adjuvant and follow…