The University of Southampton
University of Southampton Institutional Repository

3D X-ray histology for detection of metastasis in whole lymph node specimens

3D X-ray histology for detection of metastasis in whole lymph node specimens
3D X-ray histology for detection of metastasis in whole lymph node specimens
Ho, Elaine Ming Li
7fa9df7f-4dbf-4be4-b03f-ff79012dd44b
Katsamenis, Orestis L.
8553e7c3-d860-4b7a-a883-abf6c0c4b438
Thomas, Gareth
2ff54aa9-a766-416b-91ee-cf1c5be74106
Lackie, Peter
4afbbe1a-22a6-4ceb-8cad-f3696dc43a7a
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Ho, Elaine Ming Li
7fa9df7f-4dbf-4be4-b03f-ff79012dd44b
Katsamenis, Orestis L.
8553e7c3-d860-4b7a-a883-abf6c0c4b438
Thomas, Gareth
2ff54aa9-a766-416b-91ee-cf1c5be74106
Lackie, Peter
4afbbe1a-22a6-4ceb-8cad-f3696dc43a7a
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad

Ho, Elaine Ming Li, Katsamenis, Orestis L., Thomas, Gareth, Lackie, Peter and Schneider, Philipp (2020) 3D X-ray histology for detection of metastasis in whole lymph node specimens. 7th Digital Pathology & AI Congress: Europe, , Online. 03 - 04 Dec 2020.

Record type: Conference or Workshop Item (Poster)
Text
Elaine Ho P1
Download (2MB)

More information

Published date: 3 December 2020
Venue - Dates: 7th Digital Pathology & AI Congress: Europe, , Online, 2020-12-03 - 2020-12-04

Identifiers

Local EPrints ID: 448077
URI: http://eprints.soton.ac.uk/id/eprint/448077
PURE UUID: 83dd275a-eb67-41a1-85b7-483cc676e9cf
ORCID for Orestis L. Katsamenis: ORCID iD orcid.org/0000-0003-4367-4147
ORCID for Peter Lackie: ORCID iD orcid.org/0000-0001-7138-3764
ORCID for Philipp Schneider: ORCID iD orcid.org/0000-0001-7499-3576

Catalogue record

Date deposited: 01 Apr 2021 15:41
Last modified: 17 Mar 2024 03:34

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×