A tri-modal pathology pretraining framework with any-to-any input flexibility, evaluated on four downstream tasks, but with an untested missing-modality claim and a data leakage concern.
Computing receptive fields of convolutional neural networks
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Any-to-Any Learning in Computational Pathology via Triplet Multimodal Pretraining
A tri-modal pathology pretraining framework with any-to-any input flexibility, evaluated on four downstream tasks, but with an untested missing-modality claim and a data leakage concern.