Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models.
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| Title: | Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models. |
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| Authors: | Buongiorno R; Institute of Information Science and Technologies, National Research Council of Italy (ISTI-CNR), 56124 Pisa, PI, Italy., Del Corso G; Institute of Information Science and Technologies, National Research Council of Italy (ISTI-CNR), 56124 Pisa, PI, Italy., Germanese D; Institute of Information Science and Technologies, National Research Council of Italy (ISTI-CNR), 56124 Pisa, PI, Italy., Colligiani L; Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, PI, Italy., Python L; 2nd Radiology Unit, Pisa University Hospital, 56124 Pisa, PI, Italy., Romei C; 2nd Radiology Unit, Pisa University Hospital, 56124 Pisa, PI, Italy., Colantonio S; Institute of Information Science and Technologies, National Research Council of Italy (ISTI-CNR), 56124 Pisa, PI, Italy. |
| Source: | Journal of imaging [J Imaging] 2023 Dec 18; Vol. 9 (12). Date of Electronic Publication: 2023 Dec 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101698819 Publication Model: Electronic Cited Medium: Internet ISSN: 2313-433X (Electronic) Linking ISSN: 2313433X NLM ISO Abbreviation: J Imaging Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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