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Found 2 papers, 1 papers with code
Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training
To address this limitation, we propose a unified Med-VLP framework based on Multi-task Paired Masking with Alignment (MPMA) to integrate the cross-modal alignment task into the joint image-text reconstruction framework to achieve more comprehensive cross-modal interaction, while a Global and Local Alignment (GLA) module is designed to assist self-supervised paradigm in obtaining semantic representations with rich domain knowledge.
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification
Besides, empirical study shows that the reasoning process of learned networks is in conformity with physicians' diagnosis.
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