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Mammography Dual View Mass Correspondence
We introduce a deep learning, patch-based Siamese network for lesion matching in dual-view mammography.
Towards Multimodal In-Context Learning for Vision & Language Models
Inspired by the emergence of Large Language Models (LLMs) that can truly understand human language, significant progress has been made in aligning other, non-language, modalities to be `understandable' by an LLM, primarily via converting their samples into a sequence of embedded language-like tokens directly fed into the LLM (decoder) input stream.
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