Segmentation for mammography classification utilizing deep convolutional neural network

Segmentation for mammography classification utilizing deep convolutional neural network

Abstract Background Mammography for the diagnosis of early breast cancer (BC) relies heavily on the identification of breast masses. However, in the early stages, it might be challenging to ascertain whether a breast mass is benign or malignant. Consequently, many deep learning (DL)-based computer-a...

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Bibliographic Details
Main Authors: Dip Kumar Saha, Tuhin Hossain, Mejdl Safran, Sultan Alfarhood, M. F. Mridha, Dunren Che
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Imaging
Subjects:
Mammography
Breast cancer
Segmentation
Classification
SAM
Online Access:https://doi.org/10.1186/s12880-024-01510-2
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https://doi.org/10.1186/s12880-024-01510-2

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