research
∙
02/28/2022
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
The recent surge in performance for image analysis of digitised patholog...
share
research
∙
02/24/2022
Deep Learning based Prediction of MSI in Colorectal Cancer via Prediction of the Status of MMR Markers
An accurate diagnosis and profiling of tumour are critical to the best t...
research
∙
12/17/2021
Towards Launching AI Algorithms for Cellular Pathology into Clinical Pharmaceutical Orbits
Computational Pathology (CPath) is an emerging field concerned with the ...
research
∙
11/29/2021
CoNIC: Colon Nuclei Identification and Counting Challenge 2022
Nuclear segmentation, classification and quantification within Haematoxy...
research
∙
08/25/2021
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification
The development of deep segmentation models for computational pathology ...
research
∙
06/25/2021
Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations
Recent advances in whole slide imaging (WSI) technology have led to the ...
research
∙
03/06/2020
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images
To train a robust deep learning model, one usually needs a balanced set ...
research
∙
07/22/2019
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
Digital histology images are amenable to the application of convolutiona...
research
∙
01/23/2018
Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer
Distant metastasis is the major cause of death in colorectal cancer (CRC...
research
∙
05/23/2017
