Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors

Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors

Digital breast tomosynthesis (DBT) is a 3D breast cancer screening technique that can overcome the limitations of standard 2D digital mammography. However, DBT images often suffer from artifacts stemming from acquisition conditions, a limited angular range, and low radiation doses. These artifacts h...

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Bibliographic Details
Main Authors: Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Machine Learning and Knowledge Extraction
Subjects:
breast cancer classification
breast tomosynthesis
deep learning
image quality assessment
Online Access:https://www.mdpi.com/2504-4990/6/1/29

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https://www.mdpi.com/2504-4990/6/1/29

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