Fus2Net: a novel Convolutional Neural Network for classification of benign and malignant breast tumor in ultrasound images

Abstract Background The rapid development of artificial intelligence technology has improved the capability of automatic breast cancer diagnosis, compared to traditional machine learning methods. Convolutional Neural Network (CNN) can automatically select high efficiency features, which helps to imp...

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Detalles Bibliográficos
Autores principales:	He Ma, Ronghui Tian, Hong Li, Hang Sun, Guoxiu Lu, Ruibo Liu, Zhiguo Wang
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Convolutional Neural Network Deep learning Data augmentation Breast ultrasound tumor images Classification Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/3547486f0dda4b46a3ec8400cf4e253f
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Fus2Net: a novel Convolutional Neural Network for classification of benign and malignant breast tumor in ultrasound images

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