Detail publikačního výsledku

Multimodal image segmentation

GUMULEC, J.; VIČAR, T.

Originální název

Multimodal image segmentation

Anglický název

Multimodal image segmentation

Druh

Kapitola, resp. kapitoly v odborné knize

Originální abstrakt

In this chapter, the segmentation pipeline applicable on multimodal datasets is described, the advantages of segmentation over manual annotations are discussed and limitations of segmentation in multimodal setting are mentioned. Particular focus is given to the open-source tools with graphical user interface requiring no coding skills. Moreover, deep-learning approaches are discussed side-by-side with modelbased segmentation methods and their suitability is mentioned for various scenarios.

Anglický abstrakt

In this chapter, the segmentation pipeline applicable on multimodal datasets is described, the advantages of segmentation over manual annotations are discussed and limitations of segmentation in multimodal setting are mentioned. Particular focus is given to the open-source tools with graphical user interface requiring no coding skills. Moreover, deep-learning approaches are discussed side-by-side with modelbased segmentation methods and their suitability is mentioned for various scenarios.

Klíčová slova

image segmentation

Klíčová slova v angličtině

image segmentation

Autoři

GUMULEC, J.; VIČAR, T.

Rok RIV

2022

Vydáno

28.05.2021

Nakladatel

IOP Publishing

ISBN

978-0-7503-3747-2

Kniha

Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 2

Strany od

III.4.d-1

Strany do

III.4.d-12

Strany počet

12

URL

https://iopscience.iop.org/book/978-0-7503-3747-2/chapter/bk978-0-7503-3747-2ch27

Dokumenty

Volume 2