Knee3DVLM: Dual-Sequence Full-Volume Vision-Language Modeling for Comprehensive Knee MRI Assessment
cs.CV, cs.AI
Submitted: 2026-10-06
Updated: 2026-10-07
Comments: 11 pages, 2 figures, 5 tables
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
- Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image Analysis
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
- Med-Flamingo: a Multimodal Medical Few-shot Learner
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models