A New Approach to Quantify and Grade Radiation Dermatitis Using Deep-Learning Segmentation in Skin Photographs.

Journal: Clinical oncology (Royal College of Radiologists (Great Britain))
Published Date: Jan 1, 2023

Abstract

AIMS: Objective evaluation of radiation dermatitis is important for analysing the correlation between the severity of radiation dermatitis and dose distribution in clinical practice and for reliable reporting in clinical trials. We developed a novel radiation dermatitis segmentation system based on convolutional neural networks (CNNs) to consistently evaluate radiation dermatitis.

Authors

  • Y I Park
    Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, South Korea; Medical Physics and Biomedical Engineering Lab (MPBEL), Yonsei University College of Medicine, Seoul, South Korea.
  • S H Choi
    Department of Orthodontics, The Institute of Craniofacial Deformity, Yonsei University College of Dentistry, Seoul, Korea.
  • C-S Hong
    Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, South Korea. Electronic address: cs.hong@yuhs.ac.
  • M-S Cho
    Department of Radiation Oncology, Yongin Severance Hospital, Yongin, South Korea.
  • J Son
    Department of Radiation Oncology, Yongin Severance Hospital, Yongin, South Korea.
  • M C Han
    Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, South Korea.
  • J Kim
    Division of Colon and Rectal Surgery, Department of Surgery, Korea University Anam Hospital, Korea University College of Medicine, 73 Goryodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
  • H Kim
    From the Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science (I.S., H.K., S.S.A., B.S., S.-K.L.), Yonsei University College of Medicine, Seoul, Korea.
  • D W Kim
    Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, South Korea.
  • J S Kim
    Division of Colon and Rectal Surgery, Department of Surgery, Korea University Anam Hospital, Korea University College of Medicine, 73 Goryodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.

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