Deep learning analysis of MRI to assess rectal cancer treatment.

Saved in:
Bibliographic Details
Title: Deep learning analysis of MRI to assess rectal cancer treatment.
Authors: Selby HM; Stanford-Surgery Policy Improvement Research and Education Center (S-SPIRE Center), Department of Surgery, Stanford School of Medicine, Palo Alto, CA, United States., Son AY; Stanford-Surgery Policy Improvement Research and Education Center (S-SPIRE Center), Department of Surgery, Stanford School of Medicine, Palo Alto, CA, United States., Sheth VR; Department of Radiology, Stanford School of Medicine, Stanford, CA, United States., Wagner TH; Stanford-Surgery Policy Improvement Research and Education Center (S-SPIRE Center), Department of Surgery, Stanford School of Medicine, Palo Alto, CA, United States.; Veterans Affairs Medical Center, Palo Alto, CA, United States., Pollom EL; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, United States., Morris AM; Stanford-Surgery Policy Improvement Research and Education Center (S-SPIRE Center), Department of Surgery, Stanford School of Medicine, Palo Alto, CA, United States.
Source: Frontiers in oncology [Front Oncol] 2026 Feb 09; Vol. 15, pp. 1643852. Date of Electronic Publication: 2026 Feb 09 (Print Publication: 2025).
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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41737732
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Deep learning analysis of MRI to assess rectal cancer treatment.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Selby+HM%22">Selby HM</searchLink>; Stanford-Surgery Policy Improvement Research and Education Center (S-SPIRE Center), Department of Surgery, Stanford School of Medicine, Palo Alto, CA, United States.<br /><searchLink fieldCode="AU" term="%22Son+AY%22">Son AY</searchLink>; Stanford-Surgery Policy Improvement Research and Education Center (S-SPIRE Center), Department of Surgery, Stanford School of Medicine, Palo Alto, CA, United States.<br /><searchLink fieldCode="AU" term="%22Sheth+VR%22">Sheth VR</searchLink>; Department of Radiology, Stanford School of Medicine, Stanford, CA, United States.<br /><searchLink fieldCode="AU" term="%22Wagner+TH%22">Wagner TH</searchLink>; Stanford-Surgery Policy Improvement Research and Education Center (S-SPIRE Center), Department of Surgery, Stanford School of Medicine, Palo Alto, CA, United States.; Veterans Affairs Medical Center, Palo Alto, CA, United States.<br /><searchLink fieldCode="AU" term="%22Pollom+EL%22">Pollom EL</searchLink>; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, United States.<br /><searchLink fieldCode="AU" term="%22Morris+AM%22">Morris AM</searchLink>; Stanford-Surgery Policy Improvement Research and Education Center (S-SPIRE Center), Department of Surgery, Stanford School of Medicine, Palo Alto, CA, United States.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101568867%22">Frontiers in oncology</searchLink> [Front Oncol] 2026 Feb 09; Vol. 15, pp. 1643852. <i>Date of Electronic Publication: </i>2026 Feb 09 (<i>Print Publication: </i>2025).
– 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=41737732
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3389/fonc.2025.1643852
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1643852
    Titles:
      – TitleFull: Deep learning analysis of MRI to assess rectal cancer treatment.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Selby HM
      – PersonEntity:
          Name:
            NameFull: Son AY
      – PersonEntity:
          Name:
            NameFull: Sheth VR
      – PersonEntity:
          Name:
            NameFull: Wagner TH
      – PersonEntity:
          Name:
            NameFull: Pollom EL
      – PersonEntity:
          Name:
            NameFull: Morris AM
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 09
              M: 02
              Text: 2026 Feb 09
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 2234-943X
          Numbering:
            – Type: volume
              Value: 15
          Titles:
            – TitleFull: Frontiers in oncology
              Type: main
ResultId 1