Browse State-of-the-Art › Heart Segmentation
Heart Segmentation
11 papers with code · 0 benchmarks · 4 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
11 shown of 11 papers with code (30 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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9 Oct 2023 2 repositories listedIn this work, we propose a simple framework to achieve fair image segmentation of multiple modalities using a single conditional model that adapts its normalization layers based on the input type, trained with…
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12 Apr 2021 2 repositories listedDeep learning methods have reached state-of-the-art performance in cardiac image segmentation.
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25 Apr 2024 1 repository listedTo address this issue, we introduce an innovative Multimodal Information Cross Transformer (MicFormer), which employs a dual-stream architecture to simultaneously extract features from each modality.
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7 Apr 2024 1 repository listedAdapting a medical image segmentation model to a new domain is important for improving its cross-domain transferability, and due to the expensive annotation process, Unsupervised Domain Adaptation (UDA) is appealing…
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29 Sep 2023 1 repository listedTo combine the strengths of foundational and domain-specific models, we propose nnSAM, integrating SAM's robust feature extraction with nnUNet's automatic configuration to enhance segmentation accuracy on small datasets.
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28 Jun 2020 1 repository listedCurrent deep-learning-based registration algorithms often exploit intensity-based similarity measures as the loss function, where dense correspondence between a pair of moving and fixed images is optimized through…
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21 Nov 2019 1 repository listedHeart is one of the vital organs of human body.
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20 Sep 2019 1 repository listedThree-dimensional medical image segmentation is one of the most important problems in medical image analysis and plays a key role in downstream diagnosis and treatment.
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12 Dec 2018 1 repository listedIn this paper, we propose a novel heart segmentation pipeline Combining Faster R-CNN and U-net Network (CFUN).
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5 Mar 2018 1 repository listedConvolutional neural networks are powerful tools for image segmentation and classification.
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30 Mar 2015 1 repository listedWe empirically show that global training with BP outperforms layer-wise (pre-)training.
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