An approach for classification of breast cancer using lightweight deep convolution neural network

An approach for classification of breast cancer using lightweight deep convolution neural network

The rapid advancement of deep learning has generated considerable enthusiasm regarding its utilization in addressing medical imaging issues. Machine learning (ML) methods can help radiologists to diagnose breast cancer (BCs) barring invasive measures. Informative hand-crafted features are essential...

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Bibliographic Details
Main Authors: Ahmed Elaraby, Aymen Saad, Hela Elmannai, Maali Alabdulhafith, Myriam Hadjouni, Monia Hamdi
Format: Article
Language:English
Published: Elsevier 2024-10-01
Series:Heliyon
Subjects:
Deep learning
Lightweight convolutional neural networks (LWCNN)
Image processing
Breast cancer
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024145550
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