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Found 2 papers, 1 papers with code
MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems
We provide single and multi-modal (early and late fusion) benchmarks in the task of 12-month survival prediction in the challenging scenario of one or more missing modalities for each patient, with missing rates that range from 26$\%$ for genomics data to more than 90$\%$ for MRI.
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis
MIL forces the model to use only a (small) subset of patches in the image, identifying discriminative regions.
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