HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screening

Bálint Ármin Pataki; Alex Olar; Dezső Ribli; Adrián Pesti; Endre Kontsek; Benedek Gyöngyösi; Ágnes Bilecz; Tekla Kovács; Kristóf Attila Kovács; Zsófia Kramer; András Kiss; Miklós Szócska; Péter Pollner; István Csabai

doi:10.1038/s41597-022-01450-y

Scientific Data (Jun 2022)

HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screening

Bálint Ármin Pataki,
Alex Olar,
Dezső Ribli,
Adrián Pesti,
Endre Kontsek,
Benedek Gyöngyösi,
Ágnes Bilecz,
Tekla Kovács,
Kristóf Attila Kovács,
Zsófia Kramer,
András Kiss,
Miklós Szócska,
Péter Pollner,
István Csabai

Affiliations

Bálint Ármin Pataki: Department of Physics of Complex Systems, ELTE, Eötvös Loránd University
Alex Olar: Department of Physics of Complex Systems, ELTE, Eötvös Loránd University
Dezső Ribli: Department of Physics of Complex Systems, ELTE, Eötvös Loránd University
Adrián Pesti: 2nd Department of Pathology, Semmelweis University
Endre Kontsek: 2nd Department of Pathology, Semmelweis University
Benedek Gyöngyösi: 2nd Department of Pathology, Semmelweis University
Ágnes Bilecz: 2nd Department of Pathology, Semmelweis University
Tekla Kovács: 2nd Department of Pathology, Semmelweis University
Kristóf Attila Kovács: 2nd Department of Pathology, Semmelweis University
Zsófia Kramer: 2nd Department of Pathology, Semmelweis University
András Kiss: 2nd Department of Pathology, Semmelweis University
Miklós Szócska: Health Services Management Training Centre, Semmelweis University
Péter Pollner: Health Services Management Training Centre, Semmelweis University
István Csabai: Department of Physics of Complex Systems, ELTE, Eötvös Loránd University

DOI: https://doi.org/10.1038/s41597-022-01450-y
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 7

Abstract

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Measurement(s) H&E slide staining • ex vivo light microscopy with immunohistochemistry and digital image analysis • Image Annotation Statement • Screening Colonoscopy Technology Type(s) Hematoxylin and Eosin Staining Method • bright-field microscopy • Observation • Biopsy of Colon Factor Type(s) screening status of colon cancer or normal tissue Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location Central Hungary

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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