Comparison of skeletal segmentation by deep learning-based and atlas-based segmentation in prostate cancer patients.

Journal: Annals of nuclear medicine
PMID: 35773557

Abstract

OBJECTIVE: We aimed to compare the deep learning-based (VSBONE BSI) and atlas-based (BONENAVI) segmentation accuracy that have been developed to measure the bone scan index based on skeletal segmentation.

Authors

  • Kazuki Motegi
    Department of Nuclear Medicine, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-ku, Tokyo, 135-8550, Japan.
  • Noriaki Miyaji
    Department of Nuclear Medicine, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-ku, Tokyo, 135-8550, Japan. noriaki.miyaji@jfcr.or.jp.
  • Kosuke Yamashita
    Department of Nuclear Medicine, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-ku, Tokyo, 135-8550, Japan.
  • Mitsuru Koizumi
    Department of Nuclear Medicine, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-ku, Tokyo, 135-8550, Japan.
  • Takashi Terauchi
    Department of Nuclear Medicine, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-ku, Tokyo, 135-8550, Japan.

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