Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model.

Hossain, Shahed; Azam, Sami; Montaha, Sidratul; Karim, Asif; Chowa, Sadia Sultana; Mondol, Chaity; Zahid Hasan, Md; Jonkman, Mirjam

Hossain, Shahed; Azam, Sami; Montaha, Sidratul; Karim, Asif; Chowa, Sadia Sultana; Mondol, Chaity; Zahid Hasan, Md; Jonkman, Mirjam.

Afiliación

Hossain S; Health Informatics Research Laboratory (HIRL), Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1341, Bangladesh.
Azam S; Faculty of Science and Technology, Charles Darwin University, Casuarina, 0909, NT, Australia.
Montaha S; Department of Computer Science, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Karim A; Faculty of Science and Technology, Charles Darwin University, Casuarina, 0909, NT, Australia.
Chowa SS; Health Informatics Research Laboratory (HIRL), Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1341, Bangladesh.
Mondol C; Health Informatics Research Laboratory (HIRL), Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1341, Bangladesh.
Zahid Hasan M; Health Informatics Research Laboratory (HIRL), Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1341, Bangladesh.
Jonkman M; Faculty of Science and Technology, Charles Darwin University, Casuarina, 0909, NT, Australia.

Heliyon ; 9(11): e21369, 2023 Nov.

Article en En | MEDLINE | ID: mdl-37885728

Palabras clave

Channel self attention; Deep learning; Hybrid attention module; Image preprocessing; Image segmentation; Spatial self attention

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2023 Tipo del documento: Article País de afiliación: Bangladesh Pais de publicación: Reino Unido

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