Original title: U-Net Convolutional Neural Network For Tem Image Segmentation
Authors: Mocko, Štefan
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This work deals with the use of a convolutional neural network in the area of segmentation of images acquired with the use of a transmission electron microscope. Paper describes programming tool for image data augmentation, used neural network topology, and it also provides information about model training. This neural network topology delivered excellent results on provided data from the Thermo Fisher Scientific company, which will serve as a starting point for internal company research in image segmentation area.
Keywords: CNN; Neural network; segmentation; TEM; U-net
Host item entry: Proceedings of the 24th Conference STUDENT EEICT 2018, ISBN 978-80-214-5614-3

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/138235

Permalink: http://www.nusl.cz/ntk/nusl-393421


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers