Validation and evaluation metrics for medical and biomedical image synthesis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00126257" target="_blank" >RIV/00216224:14330/22:00126257 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/B978-0-12-824349-7.00032-3" target="_blank" >http://dx.doi.org/10.1016/B978-0-12-824349-7.00032-3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/B978-0-12-824349-7.00032-3" target="_blank" >10.1016/B978-0-12-824349-7.00032-3</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Validation and evaluation metrics for medical and biomedical image synthesis

Popis výsledku v původním jazyce

Synthetic image data play an important role in the verification of medical and biomedical image analysis algorithms. However, the usage of such data strongly relies on their quality and plausibility. Despite the emergence of many frameworks for image synthesis in recent years, the quality of the generated images has not been sufficiently assessed in many cases, or the methodology varied across the publications. If we want to use synthetic image data for the verification of biomedical analysis tools, then the images should resemble the real ones as much as possible with evidence about their similarity. Initially, the hardware available for simulations was limited. Therefore, the validation was not under the scope of interest. With the technological improvements, the expectations put on synthetic data have arisen. Proper validation of synthetic image data is nowadays becoming essential.

Název v anglickém jazyce

Validation and evaluation metrics for medical and biomedical image synthesis

Popis výsledku anglicky

Synthetic image data play an important role in the verification of medical and biomedical image analysis algorithms. However, the usage of such data strongly relies on their quality and plausibility. Despite the emergence of many frameworks for image synthesis in recent years, the quality of the generated images has not been sufficiently assessed in many cases, or the methodology varied across the publications. If we want to use synthetic image data for the verification of biomedical analysis tools, then the images should resemble the real ones as much as possible with evidence about their similarity. Initially, the hardware available for simulations was limited. Therefore, the validation was not under the scope of interest. With the technological improvements, the expectations put on synthetic data have arisen. Proper validation of synthetic image data is nowadays becoming essential.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Biomedical Image Synthesis and Simulation - Methods and Applications

ISBN

9780128243497

Počet stran výsledku

28

Strana od-do

573-600

Počet stran knihy

674

Název nakladatele

Elsevier

Místo vydání

Neuveden

Kód UT WoS kapitoly

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