Medical Image Analysis by Cognitive Information Systems – a Review

被引:0
|
作者
Lidia Ogiela
Makoto Takizawa
机构
[1] AGH University of Science and Technology,Cryptography and Cognitive Informatics Research Group
[2] Hosei University,Department of Advanced Sciences
来源
关键词
Cognitive information systems; Semantic analysis and interpretation; Medical image analysis;
D O I
暂无
中图分类号
学科分类号
摘要
This publication presents a review of medical image analysis systems. The paradigms of cognitive information systems will be presented by examples of medical image analysis systems. The semantic processes present as it is applied to different types of medical images. Cognitive information systems were defined on the basis of methods for the semantic analysis and interpretation of information – medical images – applied to cognitive meaning of medical images contained in analyzed data sets. Semantic analysis was proposed to analyzed the meaning of data. Meaning is included in information, for example in medical images. Medical image analysis will be presented and discussed as they are applied to various types of medical images, presented selected human organs, with different pathologies. Those images were analyzed using different classes of cognitive information systems. Cognitive information systems dedicated to medical image analysis was also defined for the decision supporting tasks. This process is very important for example in diagnostic and therapy processes, in the selection of semantic aspects/features, from analyzed data sets. Those features allow to create a new way of analysis.
引用
收藏
相关论文
共 50 条
  • [31] Convolutional Neural Network in Medical Image Analysis: A Review
    Sapna Singh Kshatri
    Deepak Singh
    [J]. Archives of Computational Methods in Engineering, 2023, 30 : 2793 - 2810
  • [32] Advances in medical image analysis with vision Transformers: A review
    Azad, Reza
    Kazerouni, Amirhossein
    Heidari, Moein
    Aghdam, Ehsan Khodapanah
    Molaei, Amirali
    Jia, Yiwei
    Jose, Abin
    Roy, Rijo
    Merhof, Dorit
    [J]. MEDICAL IMAGE ANALYSIS, 2024, 91
  • [33] Training Medical Image Analysis Systems like Radiologists
    Maicas, Gabriel
    Bradley, Andrew P.
    Nascimento, Jacinto C.
    Reid, Ian
    Carneiro, Gustavo
    [J]. MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT I, 2018, 11070 : 546 - 554
  • [34] Ensembling to Leverage the Interpretability of Medical Image Analysis Systems
    Zafeiriou, Argyrios
    Kallipolitis, Athanasios
    Maglogiannis, Ilias
    [J]. IEEE ACCESS, 2023, 11 : 76437 - 76447
  • [35] Security analysis of vulnerabilities and threats for medical information systems
    Ju, Tea Kyung
    Hong, Chong Min
    Shin, Weon
    [J]. ICIC Express Letters, 2015, 9 (03): : 849 - 854
  • [36] Specialized information systems for image analysis in physiological studies
    Dudkin K.N.
    Mironov S.V.
    Vaido A.I.
    Makarov F.N.
    [J]. Neuroscience and Behavioral Physiology, 2011, 41 (7) : 703 - 709
  • [37] A review of lightning information for power systems analysis
    Cummins, KL
    [J]. 2003 IEEE PES TRANSMISSION AND DISTRIBUTION CONFERENCE & EXPOSITION, VOLS 1-3, CONFERENCE PROCEEDINGS: BLAZING TRAILS IN ENERGY DELIVERY AND SERVICES, 2003, : 1072 - 1076
  • [38] MEDICAL INFORMATION SYSTEMS
    GOODWIN, CS
    [J]. LANCET, 1972, 2 (7782): : 871 - &
  • [39] MEDICAL INFORMATION SYSTEMS
    KEHL, T
    [J]. DATAMATION, 1968, 14 (11): : 111 - &
  • [40] A Review: Image Analysis Techniques to Improve Labeling Accuracy of Medical Image Classification
    Berahim, Mazniha
    Samsudin, Noor Azah
    Nathan, Shelena Soosay
    [J]. RECENT ADVANCES ON SOFT COMPUTING AND DATA MINING (SCDM 2018), 2018, 700 : 298 - 307