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Using Auto-Segmentation to Reduce Contouring and Dose Inconsistency in Clinical Trials: The Simulated Impact on RTOG 0617.
Thor, Maria; Apte, Aditya; Haq, Rabia; Iyer, Aditi; LoCastro, Eve; Deasy, Joseph O.
Affiliation
  • Thor M; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: thorm@mskcc.org.
  • Apte A; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Haq R; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Iyer A; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • LoCastro E; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Deasy JO; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Int J Radiat Oncol Biol Phys ; 109(5): 1619-1626, 2021 04 01.
Article in En | MEDLINE | ID: mdl-33197531
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Clinical Trials, Phase III as Topic / Organs at Risk / Deep Learning / Heart Type of study: Etiology_studies / Prognostic_studies / Qualitative_research Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Int J Radiat Oncol Biol Phys Year: 2021 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Clinical Trials, Phase III as Topic / Organs at Risk / Deep Learning / Heart Type of study: Etiology_studies / Prognostic_studies / Qualitative_research Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Int J Radiat Oncol Biol Phys Year: 2021 Document type: Article Country of publication: