Author

L. Mou

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Open access Sep 2026

A Deep Learning Framework Predicts Rectal Cancer Treatment Response via Pretreatment 3D Transrectal Ultrasound: A Multicenter Study

Accurate prediction of pathological complete response (pCR) following neoadjuvant therapy is crucial for personalized treatment planning in patients with locally advanced rectal cancer (LARC). This study aimed to explore the application of 3D transrectal ultrasound (TRUS) for this purpose. In this study, 538 LARC patie...

Min Liu, Yi-Wen Yu, Xue-Bin Zou et al. · MedComm · 0 citations

Sep 2026

Development and Validation of a Convolutional Neural Network Framework Based on Ultrasound Imaging for Multi-Classification of Superficial Soft Tissue Masses.

RATIONALE AND OBJECTIVES Superficial soft tissue masses (STMs) represent a diagnostic dilemma in clinical practice, with ultrasound (US) being the front-line imaging modality available globally. However, the high complexity of STMs in imaging makes subjective evaluation highly dependent on experience, frequently causin...

Meng-Jie Wu, Yu-Lu Wu, Ao Li et al. · Academic Radiology · 0 citations

Jul 2026

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach

This work introduces MergeMedBench, a comprehensive benchmark spanning eight imaging modalities and diverse clinical task types, comprising 16 LoRA fine-tuned models built upon two mainstream architectures and proposes winner-take-all, a simple and hyperparameter-free approach that retains only the most dominant parame...

L. Mou, Shilan Zhang, Chun-Lei Li et al. · arXiv.org · 0 citations