SurGen: 1020 H&E-stained whole-slide images with survival and genetic markers

SurGen offers a valuable resource for the scientific community, enabling studies that require high-quality WSIs linked with comprehensive clinical and genetic information on colorectal cancer. Our initial findings affirm the dataset's capacity to advance diagnostic precision and foster the development of personalised treatment strategies in colorectal oncology. Data available online: https://doi.org/10.6019/S-BIAD1285.

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Publication Details

Journal
GigaScience
Published
2025-01-01
DOI
https://doi.org/10.1093/gigascience/giaf086
Citations
4
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
9.92

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article

SurGen: 1020 H&E-stained whole-slide images with survival and genetic markers

In Hwa Um, David J. Harrison, Craig Marshall, David Harris‐Birtill et al.
4 citations
GigaScience
AI in cancer detection
9.92
article

SurGen: 1020 H&E-stained whole-slide images with survival and genetic markers

In Hwa Um, David J. Harrison, Craig Marshall, David Harris‐Birtill, Craig Myles
article en
4 citations

Abstract

SurGen offers a valuable resource for the scientific community, enabling studies that require high-quality WSIs linked with comprehensive clinical and genetic information on colorectal cancer. Our initial findings affirm the dataset's capacity to advance diagnostic precision and foster the development of personalised treatment strategies in colorectal oncology. Data available online: https://doi.org/10.6019/S-BIAD1285.

GigaScienceVol. 14
Andrews University (US), NHS Lothian (GB), University of St Andrews (GB)
UK Research and Innovation, University of St Andrews
Openalex Percentile: Top 2%
AI in cancer detection
9.92
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