Enhancing downstream classification of breast abnormalities in contrast enhanced spectral mammography using a neighborhood representation loss-Reference-Cited by-同舟云学术

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Enhancing downstream classification of breast abnormalities in contrast enhanced spectral mammography using a neighborhood representation loss

Published:2024-04-03 Issue: Volume:33 Page:12
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Container-title:Medical Imaging 2024: Computer-Aided Diagnosis
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Author:

Bhandary Panambur Adarsh,Madhu Prathmesh,Bayer Siming,Maier Andreas

Publisher

SPIE

Reference26 articles.

1. Contrast-Enhanced Spectral Mammography in Women With Intermediate Breast Cancer Risk and Dense Breasts

2. Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography in the Breast Lesions Classification

3. Radiomic Feature Reduction Approach to Predict Breast Cancer by Contrast-Enhanced Spectral Mammography Images

4. Quantitative Imaging in Medicine and Surgery

5. Attention-based deep learning for breast lesions classification on contrast enhanced spectral mammography: a multicentre study;Mao;British Journal of Cancer,2022

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