B2C3NetF2: Breast cancer classification using an end‐to‐end deep learning feature fusion and satin bowerbird optimization controlled Newton Raphson feature selection

Abstract Currently, the improvement in AI is mainly related to deep learning techniques that are employed for the classification, identification, and quantification of patterns in clinical images. The deep learning models show more remarkable performance than the traditional methods for medical imag...

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Detalles Bibliográficos

Principais autores:	Mamuna Fatima, Muhammad Attique Khan, Saima Shaheen, Nouf Abdullah Almujally, Shui‐Hua Wang
Formato:	Artigo
Idioma:	Inglês
Publicado:	Wiley 2023-12-01
Series:	CAAI Transactions on Intelligence Technology
Assuntos:	artificial intelligence artificial neural network deep learning medical image processing multi‐objective optimization
Acceso en liña:	https://doi.org/10.1049/cit2.12219
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