Semi-supervised training of cell-classifier neural networks

Pap, Gergely and Grósz, Tamás and Tóth, László: Semi-supervised training of cell-classifier neural networks. Conference of PhD Students in Computer Science, (11). pp. 84-87. (2018)

[img] Cikk, tanulmány, mű
cscs_2018_097-100.pdf

Download (260kB)

Abstract

Nowadays, microscopes used in biological research produce a huge amount of image data. Manually processing the images is a very time-consuming and resource-heavy task, so the development and implementation of new automatic systems is required. Moreover, as we have access to a large amount of unlabeled data, while labels are only available for a small subset, these novel methods should be able to process large amounts of unlabeled data with minimal manual supervision. Here, we apply neural networks to classify cells present in biological images, and show that their accuracy can be improved by using semi-supervised training algorithms.

Item Type: Article
Event Title: Conference of PhD students in computer science (11.) (2018) (Szeged)
Journal or Publication Title: Conference of PhD Students in Computer Science
Date: 2018
Volume: 11
Page Range: pp. 84-87
Uncontrolled Keywords: Számítástechnika, Biológiai kutatás
Additional Information: Bibliogr.: 87. p. ; összefoglalás angol nyelven
Date Deposited: 2019. Nov. 04. 09:53
Last Modified: 2019. Nov. 04. 09:53
URI: http://acta.bibl.u-szeged.hu/id/eprint/61772

Actions (login required)

View Item View Item