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Author

Li-Song Dai

2 papers indexed here

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Open access Aug 2026

Radiomics-based MRI model for differentiating ovarian cystadenoma and cystadenocarcinoma

Background Accurate differentiation between benign and malignant ovarian tumors is crucial to ensure timely intervention for high-risk patients and minimizing overtreatment in others. Thus, the objective was to develop a radiomics-based machine learning model to differentiate between non-cancerous and cancerous lesions...

Mohamed Muntasir Ramjaun, Palpasa Shrestha, Beebee Kaneeze Hasanayn Bhoodoo et al. · 0 citations
Open access Aug 2026

A foundation model for acute abdomen diagnosis stratification and triage on noncontrast computed tomography

Accurate and timely diagnosis of acute abdominal emergencies remains challenging. Non-contrast computed tomography (NCCT) is often used as an initial imaging modality because of atypical presentations, contraindications to contrast, or resource constraints. Here we present AbdomenNet, a multi-task AI system built on a...

Chao Zhu, Rui-Peng Zhang, Xin-Yu Song et al. · 0 citations

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