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Journal Abstract Search

129 related items for PubMed ID: 26033528

  • 1. Evaluation of a revised version of computer-assisted diagnosis system, BONENAVI version 2.1.7, for bone scintigraphy in cancer patients.
    Koizumi M, Miyaji N, Murata T, Motegi K, Miwa K, Koyama M, Terauchi T, Wagatsuma K, Kawakami K, Richter J.
    Ann Nucl Med; 2015 Oct; 29(8):659-65. PubMed ID: 26033528
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  • 2. Evaluation of a computer-assisted diagnosis system, BONENAVI version 2, for bone scintigraphy in cancer patients in a routine clinical setting.
    Koizumi M, Wagatsuma K, Miyaji N, Murata T, Miwa K, Takiguchi T, Makino T, Koyama M.
    Ann Nucl Med; 2015 Feb; 29(2):138-48. PubMed ID: 25326907
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  • 3. Diagnostic performance of a computer-assisted diagnostic system: sensitivity of BONENAVI for bone scintigraphy in patients with disseminated skeletal metastasis is not so high.
    Koizumi M, Motegi K, Koyama M, Ishiyama M, Togawa T, Makino T, Arisaka Y, Terauchi T.
    Ann Nucl Med; 2020 Mar; 34(3):200-211. PubMed ID: 31970706
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  • 7. Diagnostic performance of bone scintigraphy analyzed by three artificial neural network systems.
    Kikushima S, Hanawa N, Kotake F.
    Ann Nucl Med; 2015 Feb; 29(2):125-31. PubMed ID: 25348548
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  • 8. [Usefulness of spatially adaptive noise reduction processing in computer-assisted diagnosis system for bone scintigraphy].
    Ichikawa H, Onoguchi M, Okuda K, Kato T, Terabe M, Shimada H.
    Nihon Hoshasen Gijutsu Gakkai Zasshi; 2014 May; 70(5):461-6. PubMed ID: 24858291
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  • 9. Investigation of computer-aided diagnosis system for bone scans: a retrospective analysis in 406 patients.
    Tokuda O, Harada Y, Ohishi Y, Matsunaga N, Edenbrandt L.
    Ann Nucl Med; 2014 May; 28(4):329-39. PubMed ID: 24573796
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  • 10. Influence of the Different Primary Cancers and Different Types of Bone Metastasis on the Lesion-based Artificial Neural Network Value Calculated by a Computer-aided Diagnostic System, BONENAVI, on Bone Scintigraphy Images.
    Isoda T, BaBa S, Maruoka Y, Kitamura Y, Tahara K, Sasaki M, Hatakenaka M, Honda H.
    Asia Ocean J Nucl Med Biol; 2017 May; 5(1):49-55. PubMed ID: 28840139
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  • 12. Comparison of irregular flux viewer system with BONENAVI version for identification of Tc-99m MDP whole body bone scan metastasis images.
    Yu CC, Ting CY, Yang MH, Chan HP.
    J Xray Sci Technol; 2021 May; 29(4):617-633. PubMed ID: 33967076
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  • 13. Novel diagnostic model for bone metastases in renal cell carcinoma patients based on bone scintigraphy analyzed by computer-aided diagnosis software and bone turnover markers.
    Ujike T, Uemura M, Kato T, Hatano K, Kawashima A, Nagahara A, Fujita K, Imamura R, Nonomura N.
    Int J Clin Oncol; 2022 Apr; 27(4):774-780. PubMed ID: 35119579
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  • 14. Diagnostic utility of a computer-aided diagnosis system for whole-body bone scintigraphy to detect bone metastasis in breast cancer patients.
    Urano M, Maki Y, Nishikawa H, Kawai T, Shiraki N, Shibamoto Y.
    Ann Nucl Med; 2017 Jan; 31(1):40-45. PubMed ID: 27686468
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  • 18. Deep neural network based artificial intelligence assisted diagnosis of bone scintigraphy for cancer bone metastasis.
    Zhao Z, Pi Y, Jiang L, Xiang Y, Wei J, Yang P, Zhang W, Zhong X, Zhou K, Li Y, Li L, Yi Z, Cai H.
    Sci Rep; 2020 Oct 12; 10(1):17046. PubMed ID: 33046779
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  • 20. Verification of image quality improvement of low-count bone scintigraphy using deep learning.
    Murata T, Hashimoto T, Onoguchi M, Shibutani T, Iimori T, Sawada K, Umezawa T, Masuda Y, Uno T.
    Radiol Phys Technol; 2024 Mar 12; 17(1):269-279. PubMed ID: 38336939
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