📣 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.

Epithelial segmentation from in situ hybridisation histological samples using a deep central attention learning approach (2019)

First Author: Song T-H

Attributed to: Novel context-based segmentation algorithms for intelligent microscopy funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Publication URI: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8759384

Type: Conference/Paper/Proceeding/Abstract

Volume: in press, Proceedings ISBI 2019