Image analysis of the future using automatic algorithms

被引：0
|
作者：
Weichert, J. [1 ,2 ]
Rody, A.
Gembicki, M.
机构：
[1] Univ Klinikum Schleswig Holstein, Klin Frauenheilkunde & Geburtshilfe, Bereich Pranatalmed & Spezielle Geburtshilfe, Campus Lubeck,Ratzeburger Allee 160, D-23538 Lubeck, Germany
[2] Pranatalmed Elbe, Hamburg, Germany
来源：
GYNAKOLOGE | 2020年 / 53卷 / 03期
关键词：
Artificial intelligence; Deep learning; Ultrasound; Volumetry; Validity; FETAL NUCHAL TRANSLUCENCY; ULTRASOUND IMAGES; 3-DIMENSIONAL ULTRASONOGRAPHY; INTEROPERATOR RELIABILITY; SEMIAUTOMATED MEASUREMENT; HEAD MEASUREMENTS; SPECKLE TRACKING; BIRTH-WEIGHT; SEGMENTATION; SOFTWARE;
D O I：
10.1007/s00129-020-04563-w
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
Establishing a correct sonographic diagnosis, as well as the precise and reproducible biometric evaluation based on this diagnosis, remains challenging. This is directly related to a number of factors, with image quality and individual expertise of the operator being the most important variables. Automatic detection of key features of the target image is implemented in the majority of tools available for image analysis in order to reduce operator dependency and overcome limited clinical resources in the assessment of large image data sets. These automatic algorithms are of particular value in ultrasound diagnostics. This review summarizes the advantages and limitations of recent technologies for automatic image analysis.
引用
收藏
页码：166 / 175
页数：10
相关论文
共 50 条
  • [1] Automatic image analysis of plankton: future perspectives
    Culverhouse, Phil F.
    Williams, Robert
    Benfield, Mark
    Flood, Per R.
    Sell, Anne F.
    Mazzocchi, Maria Grazia
    Buttino, Isabella
    Sieracki, Mike
    [J]. MARINE ECOLOGY PROGRESS SERIES, 2006, 312 : 297 - 309
  • [2] Towards automatic image enhancement using genetic algorithms
    Munteanu, C
    Rosa, A
    [J]. PROCEEDINGS OF THE 2000 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2000, : 1535 - 1542
  • [3] Analysis and comparison of automatic image focusing algorithms in digital image processing
    Zhou, Weimin
    Yang, Dongyong
    [J]. JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES, 2023, 16 (04)
  • [4] Automatic image annotation refinement using fuzzy inference algorithms
    Ivasic-Kos, Marina
    Pobar, Miran
    Ribaric, Slobodan
    [J]. PROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY, 2015, 89 : 1446 - 1451
  • [5] Automatic Coastline Detection Using Image Enhancement and Segmentation Algorithms
    Maras, Erdem Emin
    Caniberk, Mustafa
    Maras, Hadi Hakan
    [J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2016, 25 (06): : 2519 - 2525
  • [6] Zukünftige Bildanalyse mit Hilfe automatisierter AlgorithmenImage analysis of the future using automatic algorithms
    J. Weichert
    A. Rody
    M. Gembicki
    [J]. Der Gynäkologe, 2020, 53 (3): : 166 - 175
  • [7] Automatic Construction of Image Transformation Algorithms Using Feature Based Genetic Image Network
    Nakano, Yuta
    Shirakawa, Shinichi
    Yata, Noriko
    Nagao, Tomoharu
    [J]. 2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2010,
  • [8] An Automatic Visible Watermark Removal Technique Using Image Inpainting Algorithms
    Xu, Chaoran
    Lu, Yao
    Zhou, Yuanpin
    [J]. 2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2017, : 1152 - 1157
  • [9] Automatic Multi-threshold Image Segmentation Using Metaheuristic Algorithms
    Bejinariu, Silviu-Ioan
    Costin, Hariton
    Rotaru, Florin
    Luca, Ramona
    Nita, Cristina Diana
    [J]. 2015 INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS (ISSCS), 2015,
  • [10] Automatic Artifact Identification in Image Communication Using Watermarking and Classification Algorithms
    Sodagari, Shabnam
    Hajimirsadeghi, G. Hossein
    Avanaki, Alireza Nasiri
    [J]. 2008 INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATIONS, VOLS 1 AND 2, 2008, : 725 - 730
12345