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Book Chapter
On the relevance of very deep networks for diabetic retinopathy diagnostics
B. Akilesh
,
T. Marwah
,
Vineeth N Balasubramanian
,
K. Rajamani
Published in Springer Singapore
2017
DOI:
10.1007/978-981-10-6418-0_6
Pages: 47 - 54
Abstract
Detection of Diabetic Retinopathy (DR) has been worked on for a long time, but no commercially viable solutions that work for different populations exist yet. In this work, we investigate the performance of Very Deep Networks for the binary classification of fundus images provided by EyePACS as part of Kaggle’s DR detection challenge. © Springer Nature Singapore Pte Ltd. 2017.
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Applications of Cognitive Computing Systems and IBM Watson: 8th IBM Collaborative Academia Research Exchange
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Springer Singapore
Authors (1)
Vineeth N Balasubramanian
Department of Computer Science and Engineering
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