Deep learning (DL) is one of the most powerful data-driven machine-learning techniques in
artificial intelligence (AI). It can automatically learn from raw data without manual feature …

Artificial intelligence in breast imaging: potentials and challenges Page 1 Physics in Medicine
& Biology ACCEPTED MANUSCRIPT • OPEN ACCESS Artificial intelligence in breast …

Background For patients with sentinel lymph node (SLN) metastasis and low risk of residual
non-SLN (NSLN) metastasis, axillary lymph node (ALN) dissection could lead to …

Background Accurate diagnosis of breast lesions and discrimination of axillary lymph node
(ALN) metastases largely depend on radiologist experience. Purpose To develop a deep …

Metastasis is a serious and often life-threatening condition, representing the leading cause
of death among women with breast cancer (BC). Although the current clinical classification …

Simple Summary Breast cancer affects countless women worldwide, and detecting the
spread of cancer to the lymph nodes is crucial for determining the best course of treatment …

Background Accurate evaluation of the axillary lymph node (ALN) status is needed for
determining the treatment protocol for breast cancer (BC). The value of magnetic resonance …

Simple Summary Quantitative image analysis of cancers requires accurate tumor
segmentation that is often performed manually. In this study, we developed a deep learning …

磁共振成像(magnetic resonance imaging, MRI) 作为乳腺癌主要的影像学检查手段在其肿瘤
诊治过程中发挥重要作用, 近年来人工智能(artificial intelligence, AI) 技术在医学影像领域发展 …

The use of deep neural networks (DNNs) in medical images has enabled the development
of solutions characterized by the need of leveraging information coming from multiple …