Detail publikace

Optical Disc Segmentation Using Fully Convolutional Neural Network in Retina Images

HESKO, B. KOLÁŘ, R. HARABIŠ, V.

Originální název

Optical Disc Segmentation Using Fully Convolutional Neural Network in Retina Images

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper focuses on optic disc segmentation, which is one of the main steps in glaucoma diagnostics. A novel method, based on semantic, pixel-wise segmentation using the fully convolutional network is applied to the RIM-ONE dataset. This approach is advantageous because no additional preprocessing or postprocessing is needed. Moreover, results are promising, reaching mean IOU at about 0.7 and thus can compete with state of the art methods. The only disadvantage lays in the need of training dataset of sufficient size.

Klíčová slova

optic disc segmentation, deep learning, ophthalmology

Autoři

HESKO, B.; KOLÁŘ, R.; HARABIŠ, V.

Vydáno

10. 9. 2018

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Místo

Brno

ISBN

978-80-214-5661-7

Kniha

Proceedings of IEEE Student Branch Conference Blansko 2018

Edice

2018

Číslo edice

první

Strany od

16

Strany do

20

Strany počet

4

BibTex

@inproceedings{BUT149748,
  author="Branislav {Hesko} and Radim {Kolář} and Vratislav {Harabiš}",
  title="Optical Disc Segmentation Using Fully Convolutional Neural Network in Retina Images",
  booktitle="Proceedings of IEEE Student Branch Conference Blansko 2018",
  year="2018",
  series="2018",
  number="první",
  pages="16--20",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno",
  isbn="978-80-214-5661-7"
}