Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model.
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| Title: | Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model. |
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| Authors: | Zhang, Yang1, Chan, Siwa2,3, Chen, Jeon-Hor1,4, jeonhc01@gmail.com, Chang, Kai-Ting1, Lin, Chin-Yao3,5, Pan, Huay-Ben6, Lin, Wei-Ching7, Kwong, Tiffany1,8, Parajuli, Ritesh9, Mehta, Rita S.9, Chien, Sou-Hsin3,10, Su, Min-Ying1,11, msu@uci.edu |
| Source: | Journal of Digital Imaging; Aug2021, Vol. 34 Issue 4, p877-887, 11p, 2 Color Photographs, 1 Diagram, 1 Chart, 2 Graphs |
| Database: | Applied Science & Technology Source |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 152559501 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhang%2C+Yang%22">Zhang, Yang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Chan%2C+Siwa%22">Chan, Siwa</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Chen%2C+Jeon-Hor%22">Chen, Jeon-Hor</searchLink><relatesTo>1,4</relatesTo>, <i>jeonhc01@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Chang%2C+Kai-Ting%22">Chang, Kai-Ting</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lin%2C+Chin-Yao%22">Lin, Chin-Yao</searchLink><relatesTo>3,5</relatesTo><br /><searchLink fieldCode="AU" term="%22Pan%2C+Huay-Ben%22">Pan, Huay-Ben</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AU" term="%22Lin%2C+Wei-Ching%22">Lin, Wei-Ching</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AU" term="%22Kwong%2C+Tiffany%22">Kwong, Tiffany</searchLink><relatesTo>1,8</relatesTo><br /><searchLink fieldCode="AU" term="%22Parajuli%2C+Ritesh%22">Parajuli, Ritesh</searchLink><relatesTo>9</relatesTo><br /><searchLink fieldCode="AU" term="%22Mehta%2C+Rita+S%2E%22">Mehta, Rita S.</searchLink><relatesTo>9</relatesTo><br /><searchLink fieldCode="AU" term="%22Chien%2C+Sou-Hsin%22">Chien, Sou-Hsin</searchLink><relatesTo>3,10</relatesTo><br /><searchLink fieldCode="AU" term="%22Su%2C+Min-Ying%22">Su, Min-Ying</searchLink><relatesTo>1,11</relatesTo>, <i>msu@uci.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Digital+Imaging%22">Journal of Digital Imaging</searchLink>; Aug2021, Vol. 34 Issue 4, p877-887, 11p, 2 Color Photographs, 1 Diagram, 1 Chart, 2 Graphs |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=152559501 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10278-021-00472-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 877 Titles: – TitleFull: Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Yang – PersonEntity: Name: NameFull: Chan, Siwa – PersonEntity: Name: NameFull: Chen, Jeon-Hor – PersonEntity: Name: NameFull: Chang, Kai-Ting – PersonEntity: Name: NameFull: Lin, Chin-Yao – PersonEntity: Name: NameFull: Pan, Huay-Ben – PersonEntity: Name: NameFull: Lin, Wei-Ching – PersonEntity: Name: NameFull: Kwong, Tiffany – PersonEntity: Name: NameFull: Parajuli, Ritesh – PersonEntity: Name: NameFull: Mehta, Rita S. – PersonEntity: Name: NameFull: Chien, Sou-Hsin – PersonEntity: Name: NameFull: Su, Min-Ying IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 08971889 Numbering: – Type: volume Value: 34 – Type: issue Value: 4 Titles: – TitleFull: Journal of Digital Imaging Type: main |
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