Pai 的 AI 雷达

生信医疗

今天:QwenVLConnector(arXiv:2609),3D Gait-Based Autism(arXiv:2609)。并行还有 Anatomy-Change-Aware、Benchmarking Off-the。

日期
2026/09/23
今日条目
85
当前类目
4
#01

QwenVLConnector: A Fast, Unified Medical VLM Chatbot for Fine-Grained Clinical Perception and Text Generation

arXiv:2609.23139v1 Announce Type: new Abstract: Most medical vision-language models (VLMs) excel at open-ended report generation and VQA but provide limited support for structured, fine-grained clinical perception within a unified interface. We present QwenVLConnector, a Qwen2.5

推荐理由可用 QwenVLConnector 设计一个统一的医疗 VLM 入口,把细粒度临床感知与文本生成放进同一交互流程;验收时分别检查结构化感知、开放式报告和 VQA,避免只用报告生成结果代表全部能力。
模型与评测生信医疗arXiv cs.CV 官方
#02

3D Gait-Based Autism Classification Using Attention-Enhanced Deep Learning with Cross-Fold Statistical Stability Analysis

arXiv:2609.14159v2 Announce Type: replace Abstract: Autism Spectrum Disorder (ASD) is a neurodevelopmental condition whose early diagnosis remains challenging because conventional clinical assessments are often subjective, time-consuming, and require expert evaluation. Gait provi

推荐理由3D Gait-Based Autism Classification:arXiv:2609.14159v2 Announce Type: replace Abstract: Autism Spectrum Disorder (ASD) is。
模型与评测生信医疗arXiv cs.CV 官方
#03

Anatomy-Change-Aware Bidirectional Selective State-Space Memory for Clinically Deployed Thoracic Radiotherapy Auto-Contouring

arXiv:2609.16036v2 Announce Type: replace-cross Abstract: We developed DAMM-Net++, a 2.5D architecture for thoracic OAR and target volume segmentation that addresses three persistent challenges in radiotherapy auto-contouring: inter-slice surface incoherence, systematic failure o

推荐理由Anatomy-Change-Aware Bidirectional:arXiv:2609.16036v2 Announce Type: replace-cross Abstract: We developed DAMM-Net++。
模型与评测生信医疗arXiv cs.CV 官方
#04

Benchmarking Off-the-Shelf Multimodal AI Models Against Dermatologists on Patient-Captured Skin Images

arXiv:2609.24190v1 Announce Type: new Abstract: Artificial intelligence (AI) has advanced at a rapid pace in recent years. Initially, breakthroughs in large language models caught widespread attention. However, recent generations of frontier AI models have adopted multimodal capa

推荐理由Benchmarking Off-the-Shelf Multimodal:arXiv:2609.24190v1 Announce Type: new Abstract: Artificial intelligence (AI) has。
模型与评测生信医疗arXiv cs.CV 官方