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Disambiguation of "Sawada, Akira"

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Automated detection of nerve fiber layer defects on retinal fundus images using fully convolutional network for early diagnosis of glaucoma.

, , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013438. SPIE, (2017)

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Akira Hayashima

Tobias Sawada

Akira Hori

Akira Satake

Akira Hayashima

 

Other publications of authors with the same name

Preliminary study on differentiation between glaucomatous and non-glaucomatous eyes on stereo fundus images using cup gradient models., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 903533. SPIE, (2014)Automatic Measurement of Vertical Cup-to-Disc Ratio on Retinal Fundus Images., , , , , , and . ICMB, volume 6165 of Lecture Notes in Computer Science, page 64-72. Springer, (2010)Improved automated optic cup segmentation based on detection of blood vessel bends in retinal fundus images., , , , , , , , and . EMBC, page 126-129. IEEE, (2014)Automatic measurement of cup to disc ratio based on line profile analysis in retinal images., , , , , , and . EMBC, page 3387-3390. IEEE, (2011)Computerized detection of peripapillary chorioretinal atrophy by texture analysis., , , , and . EMBC, page 5947-5950. IEEE, (2011)Determination of cup-to-disc ratio of optical nerve head for diagnosis of glaucoma on stereo retinal fundus image pairs., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 72603L. SPIE, (2009)Glaucoma risk assessment based on clinical data and automated nerve fiber layer defects detection., , , , , and . EMBC, page 5963-5966. IEEE, (2012)Simulating arthroscopic knee surgery using volumetric object representations, real-time volume rendering and haptic feedback., , , , , , , , , and 3 other author(s). CVRMed, volume 1205 of Lecture Notes in Computer Science, page 369-378. Springer, (1997)Automated detection of retinal nerve fiber layer defects on fundus images: false positive reduction based on vessel likelihood., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97852L. SPIE, (2016)Automated detection of nerve fiber layer defects on retinal fundus images using fully convolutional network for early diagnosis of glaucoma., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013438. SPIE, (2017)