most citedLungNoduleAgent: A Collaborative Multi-Agent System for Precision Diagnosis of Lung Nodules

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025★ 1 cited

LungNoduleAgent: A Collaborative Multi-Agent System for Precision Diagnosis of Lung Nodules

Cheng Yang, Hui Jin, Xinlei Yu +7

Diagnosing lung cancer typically involves physicians identifying lung nodules in Computed tomography (CT) scans and generating diagnostic reports based on their morphological featu…

cs.CV2025

Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks

Cheng Yang, Haiyuan Wan, Yiran Peng +8

Video Models have achieved remarkable success in high-fidelity video generation with coherent motion dynamics. Analogous to the development from text generation to text-based reaso…

eess.IV2025

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation

Xinlei Yu, Changmiao Wang, Hui Jin +5

Multi-organ medical segmentation is a crucial component of medical image processing, essential for doctors to make accurate diagnoses and develop effective treatment plans. Despite…

cs.CV2024

ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism

Xinlei Yu, Ahmed Elazab, Ruiquan Ge +6

Intracerebral hemorrhage (ICH) is the most fatal subtype of stroke and is characterized by a high incidence of disability. Accurate segmentation of the ICH region and prognosis pre…

cs.CV2024

ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal Network

Xinlei Yu, Xinyang Li, Ruiquan Ge +8

Intracerebral Hemorrhage (ICH) is the deadliest subtype of stroke, necessitating timely and accurate prognostic evaluation to reduce mortality and disability. However, the multi-fa…