A deep learning model based on chest CT to predict benign and malignant breast masses and axillary lymph node metastasis

A deep learning model based on chest CT to predict benign and malignant breast masses and axillary lymph node metastasis

Differentiating early-stage breast cancer from benign breast masses is crucial for radiologists. Additionally, accurately assessing axillary lymph node metastasis (ALNM) plays a significant role in clinical management and prognosis for breast cancer patients. Chest computed tomography (CT) is a com...

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Bibliographic Details
Main Authors: Jingxiang Sun, Xiaoming Xi, Mengying Wang, Menghan Liu, Xiaodong Zhang, Haiyan Qiu, Youxin Zhang, Taian Fu, Yanan Du, Wanqing Ren, Dawei Wang, Guang Zhang
Format: Article
Language:English
Published: Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina 2025-03-01
Series:Biomolecules & Biomedicine
Subjects:
Axillary lymph node metastasis
breast cancer
breast mass
chest CT
deep learning
Online Access:https://www.bjbms.org/ojs/index.php/bjbms/article/view/12010
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