Description

• Title:
  Survey on the most current image processing methods in huntington's disease diagnostics and progression assessment
• Creator:
  Kawala-Sterniuk, Aleksandra;
  Mikolajewski, Dariusz;
  Bryniarska, Anna;
  Myslicka, Maria;
  Czarnecki, Damian;
  Junkiert-Czarnecka, Anna;
  Sudol, Adam;
  Mikolajewska, Emilia;
  Pawlowski, Mateusz;
  Wlodarczyk, Anna;
  Walecki, Piotr;
  Gasz, Rafal;
  Libionka, Witold;
  Panczyszak, Bartosz;
  Pelc, Mariusz;
  Zygarlicki, Jaroslaw;
  Racheniuk, Henryk;
  Bojkowska-Otrebska, Katarzyna;
  Sterniuk, Piotr;
  Gorzelanczyk, Edward;
  Ferri, Raffaele
• Description:
  Huntington's disease (HD) is a rare, incurable neurodegenerative disorder where fast and non-invasive diagnosis targeting patients' condition plays a crucial role. In modern medicine, various scientific areas are being combined, such as computing, medicine and biomedical engineering. This survey is focused on the most recent image processing methods applied not only for the purpose of diagnosing HD but also for the assessment of its progression severity, in order to contribute to the effort to prolong life of and to improve its quality.
• Object availability:
  free access
• Rights:
  Copyright (c) 2024 Computer Science;
  https://creativecommons.org/licenses/by/4.0
• Date:
  2023.06.24
• Type:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion;
  Peer-reviewed Article
• Language:
  English
• Source:
  Computer Science; Vol. 24 No. 4;
  2300-7036;
  1508-2806
• Format:
  application/pdf
• Publisher:
  AGH University of Krakow, Faculty of Computer Science
• Relation: https://journals.agh.edu.pl/csci/article/view/5640/2984
• Identifier: https://journals.agh.edu.pl/csci/article/view/5640 ;
  10.7494/csci.2023.24.4.5640
• Data provider:
  AGH University of Science and Technology Journals
• Can I use it?:
  seek permission
• Type:
  text