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High-Throughput Glomerulus Detection From Kidney Microscopic Image |
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We developed an algorithm that detects specific organs in huge microscopic images automatically. |
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(From JBIP 2014 paper) |
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References |
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Yoshihiro Hirohashi and Raissa Relator and Tetsuhiro Kakimoto and Ryuta Saito and Yasushi Horai and Atsushi Fukunari and Hiroyuki Utsumi and KinyaOkada and Tsuyoshi Kato: "Automated Quantitative Image Analysis of Glomerular Desmin Immunostaining as a Sensitive Injury Marker in Spontaneously Diabtic Torii Rats", Journal of Biomedical Imaging Processing, vol.1, issue 1, pp.20-28, 2014, May. |
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Tetsuhiro Kakimoto, Kinya Okada, Yoshihiro Hirohashi, Raissa Relator, Mizue Kawai, Taku Iguchi, Keisuke Fujitaka, Masashi Nishio, Tsuyoshi Kato, Atsushi Fukunari, Hiroyuki Utsumi, Automated image analysis of a glomerular injury marker desmin in SDT rats treated with losartan, Journal of Endocrinology, 222 (1) 43-51, doi: 10.1530/JOE-14-0164, 2014, July. |
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Tetsuhiro Kakimoto, Kinya Okada, Keisuke Fujitaka, Masashi Nishio, Tsuyoshi Kato, Atsushi Fukunari, and Hiroyuki Utsumi, Quantitative analysis of markers of podocyte injury in the rat puromycin aminonucleoside nephropathy model, Experimental and Toxicologic Pathology , 67(2):171-177, Feb, 2015. |
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Tsuyoshi Kato, Raissa Relator, Hayliang Ngouv, Yoshihiro Hirohashi, Osamu Takaki, Tetsuhiro Kakimoto, and Kinya Okada "Segmental HOG: New Descriptor for Glomerulus Detection in Kidney Microscopy" BMC Bioinformatics, 16:316, doi: 10.1186/s12859-015-0739-1 [pdf] |
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