A qualitative, quantitative and dosimetric evaluation of a machine learning-based automatic segmentation method in treatment planning for gastric cancer.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PMID: 39778325

Abstract

PURPOSE: To investigate the performance of a machine learning-based segmentation method for treatment planning of gastric cancer.

Authors

  • Michalis Mazonakis
    Department of Medical Physics, Faculty of Medicine, University of Crete, P.O. Box 2208, 71003 Iraklion, Crete, Greece. Electronic address: mazonak@uoc.gr.
  • Eleftherios Tzanis
    Department of Medical Physics, School of Medicine, University of Crete, Heraklion, Greece.
  • Stefanos Kachris
    Department of Radiotherapy and Oncology, University Hospital of Iraklion, 71110 Iraklion, Crete, Greece.
  • Efrossyni Lyraraki
    Department of Radiotherapy and Oncology, University Hospital of Iraklion, 71110 Iraklion, Crete, Greece.
  • John Damilakis
    Department of Medical Physics, Faculty of Medicine, University of Crete, Greece.

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