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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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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Fukai+S%22">Fukai S</searchLink>; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan.<br /><searchLink fieldCode="AU" term="%22Daisaki+H%22">Daisaki H</searchLink>; Graduate School of Radiological Technology, Gunma Prefectural College of Health Sciences, 323-1 Kamioki-machi, Maebashi, Gunma 371-0052 Japan.<br /><searchLink fieldCode="AU" term="%22Yamashita+K%22">Yamashita K</searchLink>; Department of Medical Imaging Technology, Faculty of Life Sciences, Kumamoto University, 4-24-1 Kuhonji, Chuo-ku, Kumamoto, 862-0976 Japan.<br /><searchLink fieldCode="AU" term="%22Kuromori+I%22">Kuromori I</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Motegi+K%22">Motegi K</searchLink>; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan.<br /><searchLink fieldCode="AU" term="%22Umeda+T%22">Umeda T</searchLink>; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan.<br /><searchLink fieldCode="AU" term="%22Shimada+N%22">Shimada N</searchLink>; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan.<br /><searchLink fieldCode="AU" term="%22Takatsu+K%22">Takatsu K</searchLink>; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan.<br /><searchLink fieldCode="AU" term="%22Terauchi+T%22">Terauchi T</searchLink>; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan.<br /><searchLink fieldCode="AU" term="%22Koizumi+M%22">Koizumi M</searchLink>; Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550 Japan.
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  Data: <searchLink fieldCode="JN" term="%22101530478%22">Nuclear medicine and molecular imaging</searchLink> [Nucl Med Mol Imaging] 2025 Jun; Vol. 59 (3), pp. 185-193. <i>Date of Electronic Publication: </i>2025 Jan 13.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101530478 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>1869-3474 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218693474%22">18693474 </searchLink><i>NLM ISO Abbreviation: </i>Nucl Med Mol Imaging <i>Subsets: </i>PubMed not MEDLINE
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              Text: 2025 Jun
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