T
Toshiaki Nakagawa
Researcher at Gifu University
Publications - 35
Citations - 671
Toshiaki Nakagawa is an academic researcher from Gifu University. The author has contributed to research in topics: Fundus (eye) & Glaucoma. The author has an hindex of 13, co-authored 35 publications receiving 631 citations.
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Journal ArticleDOI
Automated segmentation of optic disc region on retinal fundus photographs: Comparison of contour modeling and pixel classification methods
Chisako Muramatsu,Toshiaki Nakagawa,Akira Sawada,Yuji Hatanaka,Takeshi Hara,Tetsuya Yamamoto,Hiroshi Fujita +6 more
TL;DR: The proposed methods can be useful for automatic determination of CD ratios, and the differences in the vertical diameters determined by the proposed methods and based on the ophthalmologist's outlines were even smaller than those in the case of the measure of overlap.
Journal ArticleDOI
Computer-aided diagnosis: The emerging of three CAD systems induced by Japanese health care needs
Hiroshi Fujita,Yoshikazu Uchiyama,Toshiaki Nakagawa,Daisuke Fukuoka,Yuji Hatanaka,Takeshi Hara,Gobert N. Lee,Yoshinori Hayashi,Yuji Ikedo,Xin Gao,Xiangrong Zhou +10 more
TL;DR: Three emerging computer-aided diagnosis (CAD) systems induced by Japanese health care needs are described, regarding the development of CAD systems for the early detection of cerebrovascular diseases using brain MRI and MRA images by detecting lacunar infarcts, unruptured aneurysms, and arterial occlusions.
Proceedings ArticleDOI
Improvement of automatic hemorrhage detection methods using brightness correction on fundus images
Yuji Hatanaka,Toshiaki Nakagawa,Yoshinori Hayashi,Masakatsu Kakogawa,Akira Sawada,Kazuhide Kawase,Takeshi Hara,Hiroshi Fujita +7 more
TL;DR: A new method for preprocessing and false positive elimination for the detection of hemorrhages is proposed to effectively improve the performance of the computer-aided diagnosis system for hemorrhages.
Journal ArticleDOI
Quantitative depth analysis of optic nerve head using stereo retinal fundus image pair
Toshiaki Nakagawa,Takayoshi Suzuki,Yoshinori Hayashi,Yutaka Mizukusa,Yuji Hatanaka,Kyoko Ishida,Takeshi Hara,Hiroshi Fujita,Tetsuya Yamamoto +8 more
TL;DR: In this article, an automatic reconstruction method for the quantitative depth measurement of the optic nerve head (ONH) from a stereo retinal fundus image pair was proposed, which mainly consists of five steps: 1. cutout of the ONH region from the stereo image pair, 2. registration, 3. disparity measurement, 4. noise reduction and 5. quantitative depth calculation.
Proceedings ArticleDOI
Improvement of automated detection method of hemorrhages in fundus images
TL;DR: An improved method for detecting hemorrhages in fundus images using a new method for preprocessing and false positive elimination and the sensitivity and specificity were 80% and 80%, respectively.