📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images (2025)

First Author: Lv Jiaqi

Attributed to: ICF: NIRG: HistoMaps: Stain agnostic feature representations to identify clinically relevant traits in the tumour microenvironment funded by MRC

Abstract

No abstract provided

Bibliographic Information

Publication URI: https://arxiv.org/abs/2501.12323

Type: Conference/Paper/Proceeding/Abstract