All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Validation and evaluation metrics for medical and biomedical image synthesis

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Validation and evaluation metrics for medical and biomedical image synthesis

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Biomedical Image Synthesis and Simulation - Methods and Applications

  • ISBN

    9780128243497

  • Number of pages of the result

    28

  • Pages from-to

    573-600

  • Number of pages of the book

    674

  • Publisher name

    Elsevier

  • Place of publication

    Neuveden

  • UT code for WoS chapter