Art

J-GLOBAL ID：202102246039489808   Reference number：21A0190831

Automatic Classification of Urinary Sediment Images

尿沈渣画像の自動分類

Author (2)： MITSUYAMA SATOSHI ((株)日立製作所 社会イノベーション事業推進本部) ,  MATSUO HITOSHI (高崎健康福祉大学健康福祉学部医療情報学科)
Material： ITヘルスケア誌(Web)
Volume： 15  Issue： 1  Page： 3-15(J-STAGE)  Publication year： 2020 
JST Material Number： U0034A  ISSN： 1881-4794  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： human(primates) ,...
Semi thesaurus term： image classification ,...

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Author keywords (10)： Urinary sediment ,  Automatic classification ,  Image processing ,  Neural network ,  Segmentation ,  Urinary sediment ,  Automatic classification ,  Image processing ,  Neural network ,  Segmentation

JST classification (2)： Medical examinations in general  (GC02010L) ,  Medical image processing  (JE04020T)

Reference (22)：

• 1) 滝美樹, 大和田伯男, 小島康明: 6800形日立尿自動分析装置の開発. 臨床病理レビュー. (125): pp. 235-242, 2003.
• 2) O. Ronneberger, P. Fischer, T. Brox: U-Net: Convolutional Networks for Biomedical Image Segmentation. In: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015: 18th International Conference Proceedings Part III (N. Navab, J. Hornegger, W. Wells, A. Frangi, eds). Springer International Publishing, Cham, pp. 234-241, 2015.
• 3) A. Aziz, H. Pande, B. Cheluvaraju et al.: Improved Extraction of Objects from Urine Microscopy Images with Unsupervised Thresholding and Supervised U-net Techniques. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW): pp. 2311-23118, 2018.
• 4) T. Paulpandian, V. Ganapathy: Translation and scale invariant recognition of handwritten Tamil characters using a hierarchical neural network. 1993 IEEE International Symposium on Circuits and Systems (ISCAS). 4: pp. 2439-2441, 1993.
• 5) S. Abe, M. Lan, J. Motoike: Optimizing Composite Neural Networks for Very Hard Classification Problems. 情報処理学会論文誌. 35 (9): pp. 1807-1814, 1994.

Terms in the title (2)： 尿沈渣 ,  自動分類