Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Haisheng Hui"'
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 53, Iss 6, Pp 1127-1133 (2022)
Stroke has a high disability rate and fatality rate. It is of great clinical significance to study the automatic recognition and segmentation of stroke lesions. Convolutional neural network can not make use of time sequence correlation of medical ima
Externí odkaz:
https://doaj.org/article/f6d838e9b55f4a05951c6e3acf85fbda
Publikováno v:
IEEE Access, Vol 8, Pp 47419-47432 (2020)
Due to the narrow time window for the treatment of acute ischemic stroke, the stroke lesion area in the patient must be identified as quickly and accurately as possible to evaluate the risks and get the most timely and effective treatment. Therefore,
Externí odkaz:
https://doaj.org/article/cf3b0ef03e294d7cbb437d599414be6f
Publikováno v:
Electronics; Volume 11; Issue 16; Pages: 2612
Deep learning-based techniques can obtain high precision for multimodal stroke segmentation tasks. However, the performance often requires a large number of training examples. Additionally, existing data extension approaches for the segmentation are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::694158e5a8a780c37d5fe036f052ea9b
https://doi.org/10.3390/electronics11162612
https://doi.org/10.3390/electronics11162612
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
For the segmentation task of stroke lesions, using the attention U-Net model based on the self-attention mechanism can suppress irrelevant regions in an input image while highlighting salient features useful for specific tasks. However, when the lesi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19a23b53e587be69275e326d89feea42
https://doaj.org/article/5f285bda260d4a83a4f02a7628b965ba
https://doaj.org/article/5f285bda260d4a83a4f02a7628b965ba
Publikováno v:
Chinese Journal of Electronics; September 2021, Vol. 30 Issue: 5 p824-832, 9p