Singular Nuclei Segmentation for Automatic <i>HER2</i> Quantification Using CISH Whole Slide Images.

Hossain, Md Shakhawat; Syeed, M M Mahbubul; Fatema, Kaniz; Hossain, Md Sakir; Uddin, Mohammad Faisal

Singular Nuclei Segmentation for Automatic HER2 Quantification Using CISH Whole Slide Images.

Hossain, Md Shakhawat; Syeed, M M Mahbubul; Fatema, Kaniz; Hossain, Md Sakir; Uddin, Mohammad Faisal.

Afiliación

Hossain MS; Department of CS, American International University-Bangladesh, Dhaka 1229, Bangladesh.
Syeed MMM; RIoT Research Center, Independent University, Bangladesh, Dhaka 1229, Bangladesh.
Fatema K; RIoT Research Center, Independent University, Bangladesh, Dhaka 1229, Bangladesh.
Hossain MS; Department of CSE, Independent University, Bangladesh, Dhaka 1229, Bangladesh.
Uddin MF; RIoT Research Center, Independent University, Bangladesh, Dhaka 1229, Bangladesh.

Sensors (Basel) ; 22(19)2022 Sep 28.

Article en En | MEDLINE | ID: mdl-36236459

Asunto(s)

Neoplasias de la Mama; Receptor ErbB-2; Neoplasias de la Mama/diagnóstico por imagen; Neoplasias de la Mama/metabolismo; Femenino; Humanos; Hibridación Fluorescente in Situ; Receptor ErbB-2/genética; Receptor ErbB-2/metabolismo

Palabras clave

HER2 grading; U-net; digital pathology; nuclei segmentation; whole slide image

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Receptor ErbB-2 Límite: Female / Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Bangladesh

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