AI-Based Cancer Detection Model for Contrast-Enhanced Mammography

AI-Based Cancer Detection Model for Contrast-Enhanced Mammography

Background: The recent development of deep neural network models for the analysis of breast images has been a breakthrough in computer-aided diagnostics (CAD). Contrast-enhanced mammography (CEM) is a recent mammography modality providing anatomical and functional imaging of the breast. Despite the...

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Bibliographic Details
Main Authors: Clément Jailin, Sara Mohamed, Razvan Iordache, Pablo Milioni De Carvalho, Salwa Yehia Ahmed, Engy Abdullah Abdel Sattar, Amr Farouk Ibrahim Moustafa, Mohammed Mohammed Gomaa, Rashaa Mohammed Kamal, Laurence Vancamberg
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Bioengineering
Subjects:
contrast-enhanced mammography
breast cancer
cancer detection
deep learning
computer aided detection
Online Access:https://www.mdpi.com/2306-5354/10/8/974

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https://www.mdpi.com/2306-5354/10/8/974

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