Modified U-net with Different Attention Mechanisms for Acute Ischemic Stroke Segmentation using Non-Contrast CT Full article
| Source | Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology Compilation, IEEE. 2020. 383 c. |
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| Output data | Year: 2021, DOI: 10.1109/usbereit51232.2021.9454963 | ||||||
| Tags | acute stroke; attention; CBAM; deep neural network; texture segmentation; U-net | ||||||
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| Affiliations |
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Funding (2)
| 1 | Russian Foundation for Basic Research | 19-29-01175 |
| 2 | Sobolev Institute of Mathematics | 0314-2019-0015 |
Cite:
Pnev S.
, Tulupov A.
, Berikov V.
Modified U-net with Different Attention Mechanisms for Acute Ischemic Stroke Segmentation using Non-Contrast CT
In compilation Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology. – IEEE., 2021. DOI: 10.1109/usbereit51232.2021.9454963 Scopus OpenAlex
Modified U-net with Different Attention Mechanisms for Acute Ischemic Stroke Segmentation using Non-Contrast CT
In compilation Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology. – IEEE., 2021. DOI: 10.1109/usbereit51232.2021.9454963 Scopus OpenAlex
Identifiers:
| Scopus: | 2-s2.0-85113768061 |
| OpenAlex: | W3174453251 |