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Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt.

, , , , , , and . Bildverarbeitung für die Medizin, page 79. Springer, (2024)

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nnU-Net: Breaking the Spell on Successful Medical Image Segmentation., , , , and . CoRR, (2019)Biomedical image analysis competitions: The state of current participation practice, , , , , , , , , and 1 other author(s). arXiv preprint arXiv:2212.08568, (2022)The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge., , , , , , , , , and 31 other author(s). CoRR, (2019)No New-Net., , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 234-244. Springer, (2018)Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge., , , , , , , , , and 26 other author(s). Medical Image Anal., (2022)MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images., , , , , , , , , and 24 other author(s). IEEE Trans. Medical Imaging, 41 (10): 2728-2738 (2022)nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation., , , , , , and . CoRR, (2024)Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection., , , , , , and . ML4H@NeurIPS, volume 116 of Proceedings of Machine Learning Research, page 171-183. PMLR, (2019)nnU-Net: Breaking the Spell on Successful Medical Image Segmentation, , , , and . arXiv e-prints, (April 2019)OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images., and . CoRR, (2020)