A grayscale ultrasound-based two-stage deep learning framework for automatic segmentation and benign-malignant differentiation of subpleural pulmonary lesions

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Publication Details

Journal
BMC Medical Imaging
Published
2026-10-09
DOI
https://doi.org/10.1186/s12880-026-02887-y
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
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article

A grayscale ultrasound-based two-stage deep learning framework for automatic segmentation and benign-malignant differentiation of subpleural pulmonary lesions

Yin Wang, Qiang Ma, Jiawei Yi, Tianxi Liang et al.
BMC Medical Imaging
AI in cancer detection
article

A grayscale ultrasound-based two-stage deep learning framework for automatic segmentation and benign-malignant differentiation of subpleural pulmonary lesions

Yin Wang, Qiang Ma, Jiawei Yi, Tianxi Liang, BI Ke, Yi Li, MengJun Shen, HaoMiao Bai
article en

Abstract

No abstract available for this paper.
BMC Medical Imaging
Tongji University (CN), Emory University (US), Shanghai Pulmonary Hospital (CN)
Openalex Percentile: Top 12%
AI in cancer detection
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