: Specifically tackles "difference-aware" analysis, which is more useful for real-world medicine than standard image labeling.
: Primarily intended for researchers in medical AI; it is not a general-purpose tool for casual users. DAMON_2022-12.zip
: Tools for processing datasets such as DLND or APWSJ , often used for generating sentence embeddings or medical visual difference analysis. : Specifically tackles "difference-aware" analysis
: Requires a background in machine learning and medical imaging to implement effectively. DAMON_2022-12.zip
: Python-based implementation for training MLLMs, including specialized modules like the Disease-driven Prompt Module (DPM) to filter redundant visual features.