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MedPlex: Deep Vision-Language Co-Adaptation for Clinically Grounded Medical Segmentation
Rafi I. B. Sultan, Author 2, Author 3, Author 4, Author 5
multimodalmedical imagingsegmentationdeep learning
2608.13690
Builder Relevance
1h ago80%
Abstract
MedPlex introduces a novel framework for medical image segmentation that integrates continuous text guidance throughout the learning process.
Reality Card
Core Claim
MedPlex achieves state-of-the-art performance in medical image segmentation tasks by integrating continuous text guidance into the segmentation learning process.
Method / Result
Achieved state-of-the-art performance across CT and MR benchmarks for multi-organ, cardiac substructure, and tumor segmentation.
Limitations
The reliance on real free-text clinical supervision may limit reproducibility in environments lacking such data.
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