research
∙
01/16/2023
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset
We introduce LYSTO, the Lymphocyte Assessment Hackathon, which was held ...
share
research
∙
08/30/2021
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input
From the simple measurement of tissue attributes in pathology workflow t...
research
∙
08/12/2020
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
While high-resolution pathology images lend themselves well to `data hun...
research
∙
05/29/2020
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images
Object Segmentation is an important step in the work-flow of computation...
research
∙
03/24/2020
PanNuke Dataset Extension, Insights and Baselines
The emerging area of computational pathology (CPath) is ripe ground for ...
research
∙
09/07/2019
NuClick: From Clicks in the Nuclei to Nuclear Boundaries
Best performing nuclear segmentation methods are based on deep learning ...
research
∙
09/03/2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Colorectal cancer (CRC) grading is typically carried out by assessing th...
research
∙
08/27/2019
Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework
Nuclear segmentation in histology images is a challenging task due to si...
research
∙
10/31/2018
Methods for Segmentation and Classification of Digital Microscopy Tissue Images
High-resolution microscopy images of tissue specimens provide detailed i...
research
∙
09/23/2018