Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning.
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| Title: | Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning. |
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| Authors: | Lucido JJ; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States., DeWees TA; Department of Health Sciences Research, Mayo Clinic, Phoenix, AZ, United States., Leavitt TR; Department of Health Sciences Research, Mayo Clinic, Phoenix, AZ, United States., Anand A; Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States., Beltran CJ; Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL, United States., Brooke MD; Google Health, Mountain View, CA, United States., Buroker JR; Research Services, Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, United States., Foote RL; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States., Foss OR; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States., Gleason AM; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States., Hodge TL; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States., Hughes CO; Google Health, Mountain View, CA, United States., Hunzeker AE; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States., Laack NN; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States., Lenz TK; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States., Livne M; Google Health, Mountain View, CA, United States., Morigami M; Google Health, Mountain View, CA, United States., Moseley DJ; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States., Undahl LM; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States., Patel Y; Google Health, Mountain View, CA, United States., Tryggestad EJ; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States., Walker MZ; Google Health, Mountain View, CA, United States., Zverovitch A; Google Health, Mountain View, CA, United States., Patel SH; Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States. |
| Source: | Frontiers in oncology [Front Oncol] 2023 Apr 06; Vol. 13, pp. 1137803. Date of Electronic Publication: 2023 Apr 06 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37091160 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lucido+JJ%22">Lucido JJ</searchLink>; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22DeWees+TA%22">DeWees TA</searchLink>; Department of Health Sciences Research, Mayo Clinic, Phoenix, AZ, United States.<br /><searchLink fieldCode="AU" term="%22Leavitt+TR%22">Leavitt TR</searchLink>; Department of Health Sciences Research, Mayo Clinic, Phoenix, AZ, United States.<br /><searchLink fieldCode="AU" term="%22Anand+A%22">Anand A</searchLink>; Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States.<br /><searchLink fieldCode="AU" term="%22Beltran+CJ%22">Beltran CJ</searchLink>; Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL, United States.<br /><searchLink fieldCode="AU" term="%22Brooke+MD%22">Brooke MD</searchLink>; Google Health, Mountain View, CA, United States.<br /><searchLink fieldCode="AU" term="%22Buroker+JR%22">Buroker JR</searchLink>; Research Services, Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Foote+RL%22">Foote RL</searchLink>; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Foss+OR%22">Foss OR</searchLink>; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Gleason+AM%22">Gleason AM</searchLink>; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Hodge+TL%22">Hodge TL</searchLink>; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Hughes+CO%22">Hughes CO</searchLink>; Google Health, Mountain View, CA, United States.<br /><searchLink fieldCode="AU" term="%22Hunzeker+AE%22">Hunzeker AE</searchLink>; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Laack+NN%22">Laack NN</searchLink>; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Lenz+TK%22">Lenz TK</searchLink>; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Livne+M%22">Livne M</searchLink>; Google Health, Mountain View, CA, United States.<br /><searchLink fieldCode="AU" term="%22Morigami+M%22">Morigami M</searchLink>; Google Health, Mountain View, CA, United States.<br /><searchLink fieldCode="AU" term="%22Moseley+DJ%22">Moseley DJ</searchLink>; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Undahl+LM%22">Undahl LM</searchLink>; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Patel+Y%22">Patel Y</searchLink>; Google Health, Mountain View, CA, United States.<br /><searchLink fieldCode="AU" term="%22Tryggestad+EJ%22">Tryggestad EJ</searchLink>; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Walker+MZ%22">Walker MZ</searchLink>; Google Health, Mountain View, CA, United States.<br /><searchLink fieldCode="AU" term="%22Zverovitch+A%22">Zverovitch A</searchLink>; Google Health, Mountain View, CA, United States.<br /><searchLink fieldCode="AU" term="%22Patel+SH%22">Patel SH</searchLink>; Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101568867%22">Frontiers in oncology</searchLink> [Front Oncol] 2023 Apr 06; Vol. 13, pp. 1137803. <i>Date of Electronic Publication: </i>2023 Apr 06 (<i>Print Publication: </i>2023). – 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="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101568867 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2234-943X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222234943X%22">2234943X </searchLink><i>NLM ISO Abbreviation: </i>Front Oncol <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37091160 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fonc.2023.1137803 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1137803 Titles: – TitleFull: Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lucido JJ – PersonEntity: Name: NameFull: DeWees TA – PersonEntity: Name: NameFull: Leavitt TR – PersonEntity: Name: NameFull: Anand A – PersonEntity: Name: NameFull: Beltran CJ – PersonEntity: Name: NameFull: Brooke MD – PersonEntity: Name: NameFull: Buroker JR – PersonEntity: Name: NameFull: Foote RL – PersonEntity: Name: NameFull: Foss OR – PersonEntity: Name: NameFull: Gleason AM – PersonEntity: Name: NameFull: Hodge TL – PersonEntity: Name: NameFull: Hughes CO – PersonEntity: Name: NameFull: Hunzeker AE – PersonEntity: Name: NameFull: Laack NN – PersonEntity: Name: NameFull: Lenz TK – PersonEntity: Name: NameFull: Livne M – PersonEntity: Name: NameFull: Morigami M – PersonEntity: Name: NameFull: Moseley DJ – PersonEntity: Name: NameFull: Undahl LM – PersonEntity: Name: NameFull: Patel Y – PersonEntity: Name: NameFull: Tryggestad EJ – PersonEntity: Name: NameFull: Walker MZ – PersonEntity: Name: NameFull: Zverovitch A – PersonEntity: Name: NameFull: Patel SH IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 04 Text: 2023 Apr 06 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 2234-943X Numbering: – Type: volume Value: 13 Titles: – TitleFull: Frontiers in oncology Type: main |
| ResultId | 1 |
