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An ensemble of Deep Convolutional Neural Networks for Marking Hair Follicles on Microscopic Images MSV2

Łukasz Podlodowski, Szymon Roziewski, Marek Nurzyński

2018 W: Position Papers of the 2018 Federated Conference on Computer Science and Information Systems : September 9-12, 2018, Poznań, Poland / Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki; Warszawa: Polskie Towarzystwo Informatyczne, s. 23-28

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.

https://annals-csis.org/Volume_16/pliks/position.pdf