Preoperative Prediction and Identification of Extracapsular Extension in Head and Neck Cancer Patients: Progress and Potential.

Duggar, William N; Vengaloor Thomas, Toms; Wang, Yibin; Rahman, Abdur; Wang, Haifeng; Roberts, Paul R; Bian, Linkan; Gatewood, Ronald T; Vijayakumar, Srinivasan

Duggar, William N; Vengaloor Thomas, Toms; Wang, Yibin; Rahman, Abdur; Wang, Haifeng; Roberts, Paul R; Bian, Linkan; Gatewood, Ronald T; Vijayakumar, Srinivasan.

Afiliación

Duggar WN; Radiation Oncology, University of Mississippi Medical Center, Jackson, USA.
Vengaloor Thomas T; Radiation Oncology, University of Mississippi Medical Center, Jackson, USA.
Wang Y; Industrial Systems and Engineering, Mississippi State University, Starkville, USA.
Rahman A; Industrial Systems and Engineering, Mississippi State University, Starkville, USA.
Wang H; Industrial Systems and Engineering, Mississippi State University, Starkville, USA.
Roberts PR; Radiation Oncology, University of Mississippi Medical Center, Jackson, USA.
Bian L; Radiation Oncology, University of Mississippi Medical Center, Jackson, USA.
Gatewood RT; Industrial Systems and Engineering, Mississippi State University, Starkville, USA.
Vijayakumar S; Radiation Oncology, University of Mississippi Medical Center, Jackson, USA.

Cureus ; 15(2): e34769, 2023 Feb.

Article en En | MEDLINE | ID: mdl-36909098

Palabras clave

artificial intelligence; deep learning; extracapsular extension; head and neck squamous cell carcinoma; model explainability; preoperative

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cureus Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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