Pai 的 AI 雷达

生信医疗

今天:How a researcher,3rd Place Solution(arXiv:2609)。并行还有 CGSM、CHIMERA Challenge Task。

日期
2026/09/11
今日条目
78
当前类目
4
#02

3rd Place Solution to Human Motion Challenges in Real-World and Clinical Settings (MoCha) @ECCV2026: Language-Aligned Motion Representations for Domain-Generalizable UPDRS-Gait Sev

arXiv:2609.10187v1 Announce Type: new Abstract: In this work, we introduce language-aligned motion representations for domain-generalizable UPDRS-Gait severity estimation, aiming to learn semantically structured motion features that generalize across heterogeneous clinical domain

推荐理由3rd Place Solution to Human Motion:arXiv:2609.10187v1 Announce Type: new Abstract: In this work, we introduce。
模型与评测生信医疗arXiv cs.CV 官方
#03

CGSM: Concept-Guided Segmentation Model for Precise Pulmonary Lesion Delineation

arXiv:2609.07004v2 Announce Type: replace Abstract: Accurate segmentation of pulmonary lesions is essential for effective clinical diagnosis and treatment strategies. Existing segmentation approaches often lack task-specific semantic guidance, as text-based annotations typically

推荐理由CGSM: Concept-Guided Segmentation Model:arXiv:2609.07004v2 Announce Type: replace Abstract: Accurate segmentation of pulmonary。
模型与评测生信医疗arXiv cs.CV 官方
#04

CHIMERA Challenge Task 2 and 3: Response Subtypes Classification and Progression Survival Prediction in Bladder Cancer Patients using Multimodal Datasets

arXiv:2609.09510v1 Announce Type: cross Abstract: High-risk non-muscle-invasive bladder cancer (HR-NMIBC) carries substantial risks of recurrence and progression, while current clinical risk stratification remains limited. CHIMERA was established as a multimodal AI challenge to b

推荐理由CHIMERA Challenge Task 2 and 3:arXiv:2609.09510v1 Announce Type: cross Abstract: High-risk non-muscle-invasive bladder。
模型与评测生信医疗arXiv cs.CV 官方