MulTaBench is a new collection of 40 image-tabular and text-tabular datasets designed to test target-aware representation tuning in multimodal tabular models.
Deep multimodal fusion of image and non- image data in disease diagnosis and prognosis: a review.Progress in Biomedical Engineering, 5(2):022001, April 2023
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A new multimodal fusion model using image, text, and clinical encoders with Transformer fusion reaches 77.64% accuracy on a pathology-confirmed 910-patient breast ultrasound dataset for distinguishing fibroadenoma from phyllodes tumors.
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MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
MulTaBench is a new collection of 40 image-tabular and text-tabular datasets designed to test target-aware representation tuning in multimodal tabular models.