[HTML] plos.org

[HTML][HTML] SinGAN-Seg: Synthetic training data generation for medical image segmentation

V Thambawita, P Salehi, SA Sheshkal, SA Hicks… - PloS one, 2022 - journals.plos.org
Analyzing medical data to find abnormalities is a time-consuming and costly task,
particularly for rare abnormalities, requiring tremendous efforts from medical experts …
被引用次数：67 相关文章
[PDF] academia.edu

[PDF][PDF] SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation

V Thambawita, P Salehi, SA Sheshkal, SA Hicks… - academia.edu
Processing medical data to find abnormalities is a time-consuming and costly task, requiring
tremendous efforts from medical experts. Therefore, artificial intelligence (AI) has become a …

SinGAN-Seg: Synthetic training data generation for medical image segmentation.

V Thambawita, P Salehi, SA Sheshkal, SA Hicks… - Plos one, 2022 - europepmc.org
Analyzing medical data to find abnormalities is a time-consuming and costly task,
particularly for rare abnormalities, requiring tremendous efforts from medical experts …

SinGAN-Seg: Synthetic training data generation for medical image segmentation

VLB Thambawita, P Salehi, SA Sheshkal, S Hicks… - 2022 - oda.oslomet.no
Analyzing medical data to find abnormalities is a time-consuming and costly task,
particularly for rare abnormalities, requiring tremendous efforts from medical experts …

SinGAN-Seg: Synthetic training data generation for medical image segmentation.

V Thambawita, P Salehi, SA Sheshkal, SA Hicks… - PLoS …, 2022 - search.ebscohost.com
Analyzing medical data to find abnormalities is a time-consuming and costly task,
particularly for rare abnormalities, requiring tremendous efforts from medical experts …
[PDF] researchgate.net

[PDF][PDF] SinGAN-Seg: Synthetic training data generation for medical image segmentation

V Thambawita, P Salehi, SA Sheshkal, SA Hicks… - PLoS ONE, 2022 - researchgate.net
Analyzing medical data to find abnormalities is a time-consuming and costly task,
particularly for rare abnormalities, requiring tremendous efforts from medical experts …

SinGAN-Seg: Synthetic training data generation for medical image segmentation

V Thambawita, P Salehi, SA Sheshkal, SA Hicks… - PLoS …, 2022 - ui.adsabs.harvard.edu
Analyzing medical data to find abnormalities is a time-consuming and costly task,
particularly for rare abnormalities, requiring tremendous efforts from medical experts …

SinGAN-Seg: Synthetic training data generation for medical image segmentation.

V Thambawita, P Salehi, SA Sheshkal… - PLoS …, 2022 - digitalcommons.providence.org
Analyzing medical data to find abnormalities is a time-consuming and costly task,
particularly for rare abnormalities, requiring tremendous efforts from medical experts …
[HTML] nih.gov

[HTML][HTML] SinGAN-Seg: Synthetic training data generation for medical image segmentation

V Thambawita, P Salehi, SA Sheshkal, SA Hicks… - PLoS ONE, 2022 - ncbi.nlm.nih.gov
Analyzing medical data to find abnormalities is a time-consuming and costly task,
particularly for rare abnormalities, requiring tremendous efforts from medical experts …

SinGAN-Seg: Synthetic training data generation for medical image segmentation

V Thambawita, P Salehi, SA Sheshkal, SA Hicks… - arXiv preprint arXiv …, 2021 - arxiv.org
Analyzing medical data to find abnormalities is a time-consuming and costly task,
particularly for rare abnormalities, requiring tremendous efforts from medical experts …