Accuracy of an Automated Bone Scan Index Measurement System Enhanced by Deep Learning of the Female Skeletal Structure in Patients with Breast Cancer.

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Title: Accuracy of an Automated Bone Scan Index Measurement System Enhanced by Deep Learning of the Female Skeletal Structure in Patients with Breast Cancer.
Authors: Fukai S; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan., Daisaki H; Graduate School of Radiological Technology, Gunma Prefectural College of Health Sciences, 323-1 Kamioki-machi, Maebashi, Gunma 371-0052 Japan., Yamashita K; Department of Medical Imaging Technology, Faculty of Life Sciences, Kumamoto University, 4-24-1 Kuhonji, Chuo-ku, Kumamoto, 862-0976 Japan., Kuromori I; Graduate School of Radiological Technology, Gunma Prefectural College of Health Sciences, 323-1 Kamioki-machi, Maebashi, Gunma 371-0052 Japan.; Department of Radiology, National Defense Medical College Hospital, 3-2 Namiki, Tokorozawa, Saitama 359-8513 Japan., Motegi K; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan., Umeda T; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan., Shimada N; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan., Takatsu K; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan., Terauchi T; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan., Koizumi M; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan.
Source: Nuclear medicine and molecular imaging [Nucl Med Mol Imaging] 2025 Jun; Vol. 59 (3), pp. 185-193. Date of Electronic Publication: 2025 Jan 13.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101530478 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1869-3474 (Print) Linking ISSN: 18693474 NLM ISO Abbreviation: Nucl Med Mol Imaging Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:1869-3474
DOI:10.1007/s13139-025-00905-5