Deep learning analysis of MRI to assess rectal cancer treatment.
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| Title: | Deep learning analysis of MRI to assess rectal cancer treatment. |
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| 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 |
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| ISSN: | 2234-943X |
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| DOI: | 10.3389/fonc.2025.1643852 |
