Výsledky vyhledávání - "Neumeier, Wolfgang"

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G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection

Autor: Bajwa, Muhammad Naseer, Singh, Gur Amrit Pal, Neumeier, Wolfgang, Malik, Muhammad Imran, Dengel, Andreas, Ahmed, Sheraz

Scarcity of large publicly available retinal fundus image datasets for automated glaucoma detection has been the bottleneck for successful application of artificial intelligence towards practical Computer-Aided Diagnosis (CAD). A few small datasets t

Externí odkaz: http://arxiv.org/abs/2006.09158

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Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection

Autor: Bajwa, Muhammad Naseer, Taniguchi, Yoshinobu, Malik, Muhammad Imran, Neumeier, Wolfgang, Dengel, Andreas, Ahmed, Sheraz

Visual artefacts of early diabetic retinopathy in retinal fundus images are usually small in size, inconspicuous, and scattered all over retina. Detecting diabetic retinopathy requires physicians to look at the whole image and fixate on some specific

Externí odkaz: http://arxiv.org/abs/2005.14308

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Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

Autor: Bajwa, Muhammad Naseer, Malik, Muhammad Imran, Siddiqui, Shoaib Ahmed, Dengel, Andreas, Shafait, Faisal, Neumeier, Wolfgang, Ahmed, Sheraz

Publikováno v: BMC medical informatics and decision making 19.1 (2019): 136

With the advancement of powerful image processing and machine learning techniques, CAD has become ever more prevalent in all fields of medicine including ophthalmology. Since optic disc is the most important part of retinal fundus image for glaucoma

Externí odkaz: http://arxiv.org/abs/2005.14284

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