An ensemble of Deep Convolutional Neural Networks for Marking Hair Follicles on Microscopic Images
Journal Title: Annals of Computer Science and Information Systems - Year 2018, Vol 16, Issue
Abstract
This paper presents an application of a Convolutional Neural Network as a solution for a task associated with ESENSEI Challenge: Marking Hair Follicles on Microscopic Images. As we show in this paper quality of classification results could be improved not only by changing architecture but also by ensemble networks. In this paper, we present two solutions for the task, the first one based on benchmark convolutional neural network, and the second one, an ensemble of VGG-16 networks. Presented models took first and third places in the final competition leaderboard.
Authors and Affiliations
Łukasz Podlodowski, Szymon Roziewski, Marek Nurzyński
Keywords
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- EP ID EP568185
- DOI 10.15439/2018F389
- Views 20
- Downloads 0
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