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

• Autorzy: Podlodowski Ł. , Roziewski Sz. , Nurzyński M.

Identyfikatory

DOI

10.15439/2018F389

• Konferencja: Federated Conference on Computer Science and Information Systems (09-12.09.2018 ; Poznań, Poland)
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

hair follicle; microscopic Image; convolutional neural network; VGG-16 network

PL

mieszek włosowy; obraz mikroskopowy; konwolucyjna sieć neuronowa; sieć VGG-16

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2018
• Tom: Vol. 16
• Strony: 23--28
• Opis fizyczny: Bibliogr. 14 poz., wykr., tab., rys.

Twórcy

autor

Podlodowski Ł.

• National Information Processing Institute, Natural Language Processing Laboratory, al. Niepodległości 188b, 00-608 Warsaw, Poland

autor

Roziewski Sz.

• National Information Processing Institute, Natural Language Processing Laboratory, al. Niepodległości 188b, 00-608 Warsaw, Poland

autor

Nurzyński M.

• National Information Processing Institute, Natural Language Processing Laboratory, al. Niepodległości 188b, 00-608 Warsaw, Poland

Bibliografia

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Uwagi

1. Track: Preface

2. Technical Session: 3rd International Workshop on Artificial Intelligence in Machine Vision and Graphics