Regression to Classification: Ordinal Prediction of Calcified Vessels Using Customized ResNet50

Regression to Classification: Ordinal Prediction of Calcified Vessels Using Customized ResNet50

A substantial percentage of women die from cardiovascular disease (CVD). Computed tomography (CT) scan helps predict/monitor CVD-related diseases. However, previous studies found relation to assessing the risk of CVD by estimating severity of breast arterial calcification (BACs). In many countries,...

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Bibliographic Details
Main Authors: Hosna Asma-Ull, Il Dong Yun, Bo La Yun
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep learning
medical image
mammography
breast arterial calcification
coronary artery disease
cascade
Online Access:https://ieeexplore.ieee.org/document/10108997/

Internet

https://ieeexplore.ieee.org/document/10108997/

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