SynCLay: Interactive synthesis of histology images from bespoke cellular layouts-Reference-Cited by-同舟云学术

SynCLay: Interactive synthesis of histology images from bespoke cellular layouts

Published:2024-01 Issue: Volume:91 Page:102995
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Deshpande Srijay^ORCID,Dawood Muhammad,Minhas Fayyaz,Rajpoot Nasir^ORCID

Funder

Medical Research Council

GlaxoSmithKline

Engineering and Physical Sciences Research Council

Alan Turing Institute

University of Warwick

UK Research and Innovation

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference44 articles.

1. Specifying object attributes and relations in interactive scene generation;Ashual,2019

2. Glandular morphometrics for objective grading of colorectal adenocarcinoma histology images;Awan;Sci. Rep.,2017

3. Controlling the false discovery rate: A practical and powerful approach to multiple testing;Benjamini;J. R. Stat. Soc. Ser. B Stat. Methodol.,1995

4. The OpenCV Library;Bradski;Dr. Dobb’s J. Softw. Tools,2000

5. ALBRT: Cellular composition prediction in routine histology images;Dawood;2021 IEEE/CVF Int. Conf. Comput. Vis. Workshops (ICCVW),2021

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