Automated Detection and Classification of Desmoplastic Reaction at the Colorectal Tumour Front Using Deep Learning.

Nearchou, Ines P; Ueno, Hideki; Kajiwara, Yoshiki; Lillard, Kate; Mochizuki, Satsuki; Takeuchi, Kengo; Harrison, David J; Caie, Peter D

Nearchou, Ines P; Ueno, Hideki; Kajiwara, Yoshiki; Lillard, Kate; Mochizuki, Satsuki; Takeuchi, Kengo; Harrison, David J; Caie, Peter D.

Afiliación

Nearchou IP; Quantitative and Digital Pathology, School of Medicine, University of St Andrews, St Andrews KY16 9TF, UK.
Ueno H; Department of Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama 359-8513, Japan.
Kajiwara Y; Department of Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama 359-8513, Japan.
Lillard K; Indica Labs, Inc., 2469 Corrales Rd Bldg A-3, Corrales, NM 87048, USA.
Mochizuki S; Department of Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama 359-8513, Japan.
Takeuchi K; Division of Pathology, Cancer Institute, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto, Tokyo 135-8550, Japan.
Harrison DJ; Department of Pathology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto, Tokyo 135-8550, Japan.
Caie PD; Pathology Project for Molecular Targets, Cancer Institute, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto, Tokyo 135-8550, Japan.

Cancers (Basel) ; 13(7)2021 Mar 31.

Article en En | MEDLINE | ID: mdl-33807394

Palabras clave

colorectal cancer; deep learning; desmoplastic reaction; digital pathology; image analysis

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

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