Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center study

PTs-HDM shows strong diagnostic performance, especially for small lesions, and improves radiologists' accuracy across all experience levels, bridging diagnostic gaps and providing reliable support for PTs' hierarchical diagnosis.

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Publication Details

Journal
Cancer Imaging
Published
2025-05-08
DOI
https://doi.org/10.1186/s40644-025-00879-9
Citations
2
Primary Topic
Breast Lesions and Carcinomas
Type
article
Field-Weighted Citation Impact
2.94

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article

Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center study

Yahan Zhou, Rongrong Ru, Tian Jiang, Meiying Yan et al.
2 citations
Cancer Imaging
Breast Lesions and Carcinomas
2.94
article

Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center study

Yahan Zhou, Rongrong Ru, Tian Jiang, Meiying Yan, Ying Zhu, Anli Zhao, Ju-Jun Xie, Jingxiao Chen, Yao Wang, Yang Zhang, Chen Chen, Sui Lin, Xin Liu, Haifei Xu, Yuanzhen Liu, Shiyan Li, Dong Xu, Qiuqing Zheng, Yuqi Yan, Vicky Yang Wang, Kai Wang
article en
2 citations

Abstract

PTs-HDM shows strong diagnostic performance, especially for small lesions, and improves radiologists' accuracy across all experience levels, bridging diagnostic gaps and providing reliable support for PTs' hierarchical diagnosis.

Cancer ImagingVol. 25(1)
Chinese Academy of Sciences (CN), Wenzhou Medical University (CN), Sir Run Run Shaw Hospital (CN), Zhejiang Cancer Hospital (CN), Zhejiang Hospital (CN), Lishui City People's Hospital (CN), The First People's Hospital of Wenling (CN), Dongyang People's Hospital (CN), The First People's Hospital of Xiaoshan District, Hangzhou (CN)
Wenzhou Medical University, Sir Run Run Shaw Hospital, Zhejiang University, Jinhua Science and Technology Bureau
Openalex Percentile: Top 10%
Breast Lesions and Carcinomas
2.94
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