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Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling

arXiv — cs.CV•Monday, October 27, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
Recent advancements in vision-language models (VLMs) are making waves in the field of few-shot learning, particularly for weakly supervised classification of whole slide images. By integrating these models into multiple instance learning frameworks, researchers are addressing significant challenges in accurately classifying complex tissue structures. This is crucial as it enhances diagnostic capabilities in medical imaging, potentially leading to better patient outcomes. The focus on multi-scale information representation is a promising direction that could revolutionize how we analyze and interpret medical data.
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