Early detection and analysis of accurate breast cancer for improved diagnosis using deep supervised learning for enhanced patient outcomes

Early detection of breast cancer (BC) is essential for effective treatment and improved prognosis. This study compares the performance of various machine learning (ML) algorithms, including convolutional neural networks (CNNs), logistic regression (LR), support vector machines (SVMs), and Gaussian n...

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Detalhes bibliográficos

Principais autores:	Mandika Chetry, Ruiling Feng, Samra Babar, Hao Sun, Imran Zafar, Mohamed Mohany, Hassan Imran Afridi, Najeeb Ullah Khan, Ijaz Ali, Muhammad Shafiq, Sabir Khan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	PeerJ Inc. 2025-04-01
Colecção:	PeerJ Computer Science
Assuntos:	Breast cancer Image classification Deep learning Cancer diagnosis AI WDBC
Acesso em linha:	https://peerj.com/articles/cs-2784.pdf
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