Hardware deployment of deep learning model for classification of breast carcinoma from digital mammogram images.

R, Kayalvizhi; H, Heartlin Maria; S, Malarvizhi; Venkatraman, Revathi; Patil, Shantanu

R, Kayalvizhi; H, Heartlin Maria; S, Malarvizhi; Venkatraman, Revathi; Patil, Shantanu.

Afiliação

R K; Department of Electronics and Communication, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, India.
H HM; Department of Electronics and Communication, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, India.
S M; Department of Electronics and Communication, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, India. malarvig@srmist.edu.in.
Venkatraman R; Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, India.
Patil S; Department of Translational Medicine and Research, SRM Medical College Hospital and Research Centre, Kattankulathur, Chennai, 60320, India.

Med Biol Eng Comput ; 61(11): 2843-2857, 2023 Nov.

Article em En | MEDLINE | ID: mdl-37495885

Assuntos

Neoplasias da Mama; Aprendizado Profundo; Humanos; Feminino; Inteligência Artificial; Aprendizado de Máquina; Mamografia/métodos; Neoplasias da Mama/diagnóstico por imagem; Neoplasias da Mama/patologia; Computadores

Palavras-chave

Artificial intelligence; Breast cancer; CNN; Computer-aided diagnosis (CAD); Deep learning; FPGA

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Aprendizado Profundo Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

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XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Aprendizado Profundo Idioma: En Ano de publicação: 2023 Tipo de documento: Article