Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models.
Saved in:
| Title: | Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models. |
|---|---|
| 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 |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38132701 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Buongiorno+R%22">Buongiorno R</searchLink>; Institute of Information Science and Technologies, National Research Council of Italy (ISTI-CNR), 56124 Pisa, PI, Italy.<br /><searchLink fieldCode="AU" term="%22Del+Corso+G%22">Del Corso G</searchLink>; Institute of Information Science and Technologies, National Research Council of Italy (ISTI-CNR), 56124 Pisa, PI, Italy.<br /><searchLink fieldCode="AU" term="%22Germanese+D%22">Germanese D</searchLink>; Institute of Information Science and Technologies, National Research Council of Italy (ISTI-CNR), 56124 Pisa, PI, Italy.<br /><searchLink fieldCode="AU" term="%22Colligiani+L%22">Colligiani L</searchLink>; Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, PI, Italy.<br /><searchLink fieldCode="AU" term="%22Python+L%22">Python L</searchLink>; 2nd Radiology Unit, Pisa University Hospital, 56124 Pisa, PI, Italy.<br /><searchLink fieldCode="AU" term="%22Romei+C%22">Romei C</searchLink>; 2nd Radiology Unit, Pisa University Hospital, 56124 Pisa, PI, Italy.<br /><searchLink fieldCode="AU" term="%22Colantonio+S%22">Colantonio S</searchLink>; Institute of Information Science and Technologies, National Research Council of Italy (ISTI-CNR), 56124 Pisa, PI, Italy. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101698819%22">Journal of imaging</searchLink> [J Imaging] 2023 Dec 18; Vol. 9 (12). <i>Date of Electronic Publication: </i>2023 Dec 18. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101698819 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2313-433X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222313433X%22">2313433X </searchLink><i>NLM ISO Abbreviation: </i>J Imaging <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38132701 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/jimaging9120283 Languages: – Code: eng Text: English Titles: – TitleFull: Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Buongiorno R – PersonEntity: Name: NameFull: Del Corso G – PersonEntity: Name: NameFull: Germanese D – PersonEntity: Name: NameFull: Colligiani L – PersonEntity: Name: NameFull: Python L – PersonEntity: Name: NameFull: Romei C – PersonEntity: Name: NameFull: Colantonio S IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 12 Text: 2023 Dec 18 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 2313-433X Numbering: – Type: volume Value: 9 – Type: issue Value: 12 Titles: – TitleFull: Journal of imaging Type: main |
| ResultId | 1 |