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Visual assessment of ultrasound uniformity is subjective and prone to inter-observer variability. This study validates a novel, automated metric combining weighted intensity statistics and texture analysis to provide an objective...

To enhance breast malignancy prediction, this study develops a multimodal framework that integrates automated, Vision-Language Model (VLM)-derived BI-RADS lexicons with quantitative radiomic features.

We developed a unified, fully automated, and open-source VMAT planning framework for three complex modalities: VMAT total body irradiation (VMAT-TBI), craniospinal irradiation (VMAT-CSI), and total marrow and lymphoid irradiation...