A hybrid deep learning approach for detection and segmentation of ovarian tumours.
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| Title: | A hybrid deep learning approach for detection and segmentation of ovarian tumours. |
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| Authors: | Maria, H. Heartlin1, hm8472@srmist.edu.in, Jossy, A. Maria1, Malarvizhi, S.1 |
| Source: | Neural Computing & Applications; Jul2023, Vol. 35 Issue 21, p15805-15819, 15p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 164079629 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A hybrid deep learning approach for detection and segmentation of ovarian tumours. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Maria%2C+H%2E+Heartlin%22">Maria, H. Heartlin</searchLink><relatesTo>1</relatesTo>, <i>hm8472@srmist.edu.in</i><br /><searchLink fieldCode="AU" term="%22Jossy%2C+A%2E+Maria%22">Jossy, A. Maria</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Malarvizhi%2C+S%2E%22">Malarvizhi, S.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Jul2023, Vol. 35 Issue 21, p15805-15819, 15p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164079629 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-023-08569-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 15805 Titles: – TitleFull: A hybrid deep learning approach for detection and segmentation of ovarian tumours. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Maria, H. Heartlin – PersonEntity: Name: NameFull: Jossy, A. Maria – PersonEntity: Name: NameFull: Malarvizhi, S. IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 07 Text: Jul2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 35 – Type: issue Value: 21 Titles: – TitleFull: Neural Computing & Applications Type: main |
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