Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images: a retrospective, multicentre studyResearch in context

Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images: a retrospective, multicentre studyResearch in context

Summary: Background: Previous deep learning models have been proposed to predict the pathological complete response (pCR) and axillary lymph node metastasis (ALNM) in breast cancer. Yet, the models often leveraged multiple frameworks, required manual annotation, and discarded low-quality images. We...

Full description

Bibliographic Details
Main Authors: Jingjing You, Yue Huang, Lizhu Ouyang, Xiao Zhang, Pei Chen, Xuewei Wu, Zhe Jin, Hui Shen, Lu Zhang, Qiuying Chen, Shufang Pei, Bin Zhang, Shuixing Zhang
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:EClinicalMedicine
Subjects:
Breast cancer
Ultrasound
Deep learning
Neoadjuvant chemotherapy
Lymph node metastasis
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537024000786

Internet

http://www.sciencedirect.com/science/article/pii/S2589537024000786

Similar Items