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Found 1 from your keywords: author=Andriani, Nur Avisa Cal...
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PENERAPAN AUGMENTASI DAN ENSEMBLE LEARNING PADA ARSITEKTUR INCEPTIONV3, MOBIL…
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Andriani, Nur Avisa Calista

Deep learning has developed rapidly and provides good performance in the image classification process in diabetic retinopathy (DR) disorders. The dataset that is often used in classification is STARE. Unfortunately, only 20 images have labels, therefore augmentation was chosen to overcome data limitations. The high-performance classification method is CNN, so the architecture used is InceptionV…

Edition
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ISBN/ISSN
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Collation
xi, 94 hlm.; Ilus.; 29 cm
Series Title
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Call Number
T689162021