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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Dades bibliogràfiques
Autors principals: 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
Idioma:English
Publicat: MDPI AG 2023-08-01
Col·lecció:Bioengineering
Matèries:
contrast-enhanced mammography
breast cancer
cancer detection
deep learning
computer aided detection
Accés en línia:https://www.mdpi.com/2306-5354/10/8/974

Internet

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

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