FlexiCT applies agglomerative pretraining across 2D, 3D, and vision-language stages on a large public CT collection to produce representations that match or exceed specialized models on segmentation, classification, registration, and related tasks while organizing embeddings by tumor stage gradients
Au- tomatic organ and pan-cancer segmentation in abdomen ct: the flare 2023 challenge
2 Pith papers cite this work. Polarity classification is still indexing.
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Primus and PrimusV2 are Transformer-centric models that match or exceed nnU-Net and top CNNs on nine 3D medical segmentation datasets by enforcing attention usage.
citing papers explorer
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Universal CT Representations from Anatomy to Disease Phenotype through Agglomerative Pretraining
FlexiCT applies agglomerative pretraining across 2D, 3D, and vision-language stages on a large public CT collection to produce representations that match or exceed specialized models on segmentation, classification, registration, and related tasks while organizing embeddings by tumor stage gradients
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Primus: Enforcing Attention Usage for 3D Medical Image Segmentation
Primus and PrimusV2 are Transformer-centric models that match or exceed nnU-Net and top CNNs on nine 3D medical segmentation datasets by enforcing attention usage.