This paper is in the following e-collection/theme issue:

Computer-Aided Diagnosis (265) Breast Cancer (297) Imaging Informatics (313) Pathology and Laboratory Medicine (31) AI applications in genomics and pathology informatics, including ‘Generative AI’ (22) Artificial Intelligence (2209) Machine Learning (2141) Methods and Instruments in Medical Informatics (201)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81181, first published .
Identification and Localization of Breast Tumor Components via a Convolutional Neural Network Based on High-Frequency Ultrasound Combined With Histopathologic Registration: Prospective Study

Identification and Localization of Breast Tumor Components via a Convolutional Neural Network Based on High-Frequency Ultrasound Combined With Histopathologic Registration: Prospective Study

Identification and Localization of Breast Tumor Components via a Convolutional Neural Network Based on High-Frequency Ultrasound Combined With Histopathologic Registration: Prospective Study

Authors of this article:

Jia-Qian Yao1 Author Orcid Image ;   Wen-Wen Zhou1, 2 Author Orcid Image ;   Zhi-Fei Chai3 Author Orcid Image ;   Fei Ren3 Author Orcid Image ;   Tong-Yi Huang1 Author Orcid Image ;   Tian-Tian Zhen4 Author Orcid Image ;   Hui-Juan Shi4 Author Orcid Image ;   Xiao-Yan Xie1 Author Orcid Image ;   Ze Zhao3 Author Orcid Image ;   Ming Xu1 Author Orcid Image
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