Image segmentation of cervical grainy sandy patches lesions associated with female genital schistosomiasis using deep convolutional neural network with U-NET architecture.
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| Title: | Image segmentation of cervical grainy sandy patches lesions associated with female genital schistosomiasis using deep convolutional neural network with U-NET architecture. |
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| Authors: | Jøker, Karl Emil1 (AUTHOR) karl.joeker@rn.dk, Leutscher, Peter Christian Derek1,2 (AUTHOR), Øby, Kristine Brøndbjerg1 (AUTHOR), Jøker, Karoline1 (AUTHOR), Randrianasolo, Bodo Sahondra3 (AUTHOR), Plocharski, Maciej4 (AUTHOR), Arenholt, Louise Thomsen Schmidt1,2 (AUTHOR) |
| Source: | PLoS Neglected Tropical Diseases. 3/5/2026, Vol. 20 Issue 3, p1-13. 13p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 192051388 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Image segmentation of cervical grainy sandy patches lesions associated with female genital schistosomiasis using deep convolutional neural network with U-NET architecture. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jøker%2C+Karl+Emil%22">Jøker, Karl Emil</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> karl.joeker@rn.dk</i><br /><searchLink fieldCode="AR" term="%22Leutscher%2C+Peter+Christian+Derek%22">Leutscher, Peter Christian Derek</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Øby%2C+Kristine+Brøndbjerg%22">Øby, Kristine Brøndbjerg</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jøker%2C+Karoline%22">Jøker, Karoline</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Randrianasolo%2C+Bodo+Sahondra%22">Randrianasolo, Bodo Sahondra</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Plocharski%2C+Maciej%22">Plocharski, Maciej</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Arenholt%2C+Louise+Thomsen+Schmidt%22">Arenholt, Louise Thomsen Schmidt</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+Neglected+Tropical+Diseases%22">PLoS Neglected Tropical Diseases</searchLink>. 3/5/2026, Vol. 20 Issue 3, p1-13. 13p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192051388 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pntd.0014037 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Titles: – TitleFull: Image segmentation of cervical grainy sandy patches lesions associated with female genital schistosomiasis using deep convolutional neural network with U-NET architecture. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jøker, Karl Emil – PersonEntity: Name: NameFull: Leutscher, Peter Christian Derek – PersonEntity: Name: NameFull: Øby, Kristine Brøndbjerg – PersonEntity: Name: NameFull: Jøker, Karoline – PersonEntity: Name: NameFull: Randrianasolo, Bodo Sahondra – PersonEntity: Name: NameFull: Plocharski, Maciej – PersonEntity: Name: NameFull: Arenholt, Louise Thomsen Schmidt IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 03 Text: 3/5/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19352727 Numbering: – Type: volume Value: 20 – Type: issue Value: 3 Titles: – TitleFull: PLoS Neglected Tropical Diseases Type: main |
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