Applying dual models on optimized LSTM with U-net segmentation for breast cancer diagnosis using mammogram images.

Sivamurugan, J; Sureshkumar, G

Sivamurugan, J; Sureshkumar, G.

Afiliação

Sivamurugan J; Department of Computer Science and Engineering, School of Engineering & Technology, Pondicherry University (karaikal Campus), karaikal-609605, Puducherry UT, India.. Electronic address: jpsiva715@gmail.com.
Sureshkumar G; Department of Computer Science and Engineering, School of Engineering & Technology, Pondicherry University (karaikal Campus), karaikal-609605, Puducherry UT, India.

Artif Intell Med ; 143: 102626, 2023 09.

Article em En | MEDLINE | ID: mdl-37673584

Assuntos

Mamografia; Neoplasias; Feminino; Animais

Palavras-chave

Adaptive Black Widow Optimization; Breast cancer diagnosis; Deep learning; Dual model accessed optimized long short-term memory; Grey-Level Co-occurrence Matrix; Local gradient pattern; Mammogram images; Optimized U-net architecture

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

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

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