Building extraction from optical remote sensing (RS) imagery is fundamental to urban mapping, yet existing methods are often dataset-specific and generalize poorly to unseen domains. Their practical use is also limited by insufficient detail recovery and weak geometric regularization, leading to blurred boundaries, irr...
Wei Huang, Chen-Ying Liu, Yi-Lei Shi et al.· 0 citations
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
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
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