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Found 3 papers, 2 papers with code
MedRG: Medical Report Grounding with Multi-modal Large Language Model
Medical Report Grounding is pivotal in identifying the most relevant regions in medical images based on a given phrase query, a critical aspect in medical image analysis and radiological diagnosis.
Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation
Our UML has the potential to explore the development of more reliable and explainable medical image analysis models.
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty
DEviS not only enhances the calibration and robustness of baseline segmentation accuracy but also provides high-efficiency uncertainty estimation for reliable predictions.
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