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cs.CV2026
Rad-VLSM: A Cross-Modal Framework with Semantics-Assisted Prompting for Medical Segmentation and Diagnosis
Fengyi Zhang, Xujie Zeng, Mohan Liu +2
Medical image segmentation is more clinically valuable when it supports diagnosis rather than merely producing lesion masks. However, diagnostically relevant lesion cues are often…
cs.CV2024★ 1 cited
CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images
Xinjie Sun, Boxiong Wei, Yalong Jiang +2
Thyroid nodule segmentation in ultrasound images is crucial for accurate diagnosis and treatment planning. However, existing methods face challenges in segmentation accuracy, inter…
cs.CV2024
Vision-Language Models Assisted Unsupervised Video Anomaly Detection
Yalong Jiang, Liquan Mao
Video anomaly detection is a subject of great interest across industrial and academic domains due to its crucial role in computer vision applications. However, the inherent unpredi…