[HTML][HTML] Annotation-efficient deep learning for automatic medical image segmentation
Automatic medical image segmentation plays a critical role in scientific research and
medical care. Existing high-performance deep learning methods typically rely on large …
medical care. Existing high-performance deep learning methods typically rely on large …
Annotation-efficient deep learning for automatic medical image segmentation
S Wang, C Li, R Wang, Z Liu, M Wang… - Nature …, 2021 - pubmed.ncbi.nlm.nih.gov
Automatic medical image segmentation plays a critical role in scientific research and
medical care. Existing high-performance deep learning methods typically rely on large …
medical care. Existing high-performance deep learning methods typically rely on large …
[引用][C] Annotation-efficient deep learning for automatic medical image segmentation
S Wang, C Li, R Wang, Z Liu, M Wang… - Nature …, 2021 - espace2.etsmtl.ca
Annotation-efficient deep learning for automatic medical image segmentation - Espace ÉTS
ENGLISH Logo La vitrine de diffusion des publications et contributions des chercheurs de l'ÉTS …
ENGLISH Logo La vitrine de diffusion des publications et contributions des chercheurs de l'ÉTS …
Annotation-efficient deep learning for automatic medical image segmentation.
S Wang, C Li, R Wang, Z Liu, M Wang, H Tan… - Nature …, 2021 - europepmc.org
Automatic medical image segmentation plays a critical role in scientific research and
medical care. Existing high-performance deep learning methods typically rely on large …
medical care. Existing high-performance deep learning methods typically rely on large …
Annotation-efficient deep learning for automatic medical image segmentation
S Wang, C Li, R Wang, Z Liu, M Wang, H Tan… - Nature …, 2021 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> Automatic medical image segmentation plays
a critical role in scientific research and medical care. Existing high-performance deep …
a critical role in scientific research and medical care. Existing high-performance deep …
Annotation-efficient deep learning for automatic medical image segmentation
S Wang, C Li, R Wang, Z Liu, M Wang, H Tan… - Nature …, 2021 - ideas.repec.org
Automatic medical image segmentation plays a critical role in scientific research and
medical care. Existing high-performance deep learning methods typically rely on large …
medical care. Existing high-performance deep learning methods typically rely on large …
Annotation-efficient deep learning for automatic medical image segmentation
S Wang, C Li, R Wang, Z Liu, M Wang, H Tan… - arXiv preprint arXiv …, 2020 - arxiv.org
Automatic medical image segmentation plays a critical role in scientific research and
medical care. Existing high-performance deep learning methods typically rely on large …
medical care. Existing high-performance deep learning methods typically rely on large …
Annotation-efficient deep learning for automatic medical image segmentation
S Wang, C Li, R Wang, Z Liu, M Wang… - Nature …, 2021 - econpapers.repec.org
Automatic medical image segmentation plays a critical role in scientific research and
medical care. Existing high-performance deep learning methods typically rely on large …
medical care. Existing high-performance deep learning methods typically rely on large …
Annotation-efficient deep learning for automatic medical image segmentation.
S Wang, C Li, R Wang, Z Liu, M Wang… - Nature …, 2021 - search.ebscohost.com
Automatic medical image segmentation plays a critical role in scientific research and
medical care. Existing high-performance deep learning methods typically rely on large …
medical care. Existing high-performance deep learning methods typically rely on large …
[HTML][HTML] Annotation-efficient deep learning for automatic medical image segmentation
S Wang, C Li, R Wang, Z Liu, M Wang, H Tan… - Nature …, 2021 - ncbi.nlm.nih.gov
Automatic medical image segmentation plays a critical role in scientific research and
medical care. Existing high-performance deep learning methods typically rely on large …
medical care. Existing high-performance deep learning methods typically rely on large …