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Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification
August 15, 2018 Β· Declared Dead Β· π arXiv.org
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Authors
TomΓ‘Ε‘ Majtner, Buda BajiΔ, Sule Yildirim, Jon Yngve Hardeberg, Joakim Lindblad, NataΕ‘a Sladoje
arXiv ID
1808.05071
Category
cs.CV: Computer Vision
Citations
37
Venue
arXiv.org
Last Checked
6 months ago
Abstract
In this report, we are presenting our automated prediction system for disease classification within dermoscopic images. The proposed solution is based on deep learning, where we employed transfer learning strategy on VGG16 and GoogLeNet architectures. The key feature of our solution is preprocessing based primarily on image augmentation and colour normalization. The solution was evaluated on Task 3: Lesion Diagnosis of the ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection.
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