Computer-Aided Monitoring of Fetus Health From Ultrasound Images: A Review
Computer aided diagnostic methods have been helping medical experts for monitoring fetus health for many years. The use of new methods has made a positive effect in monitoring the health of fetus as well as the diagnosis of anomalies. This study first introduces the indicators for identifying anomal...
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| Format: | Article |
| Language: | English |
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Istanbul University Press
2022-12-01
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| Series: | Acta Infologica |
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| Online Access: | https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/F6F39681BA374E89856A76C44C4E3AE6 |
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| _version_ | 1849315396227694592 |
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| author | Deniz Ataş Yonca Bayrakdar Yılmaz |
| author_facet | Deniz Ataş Yonca Bayrakdar Yılmaz |
| author_sort | Deniz Ataş |
| collection | DOAJ |
| description | Computer aided diagnostic methods have been helping medical experts for monitoring fetus health for many years. The use of new methods has made a positive effect in monitoring the health of fetus as well as the diagnosis of anomalies. This study first introduces the indicators for identifying anomalies in fetus and gives basic information about computer-based methods such as traditional image processing, machine learning and deep learning. Then an overview of existing studies which use novel techniques on monitoring fetus health and anomaly detection from ultrasound images is given. Finally, the main challenges of novel techniques and future directions of research on computer-aided monitoring of fetus health are summarized. |
| format | Article |
| id | doaj-art-da1e51ebd82641cfab691a4cec088303 |
| institution | Kabale University |
| issn | 2602-3563 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Istanbul University Press |
| record_format | Article |
| series | Acta Infologica |
| spelling | doaj-art-da1e51ebd82641cfab691a4cec0883032025-08-20T03:52:08ZengIstanbul University PressActa Infologica2602-35632022-12-016228330210.26650/acin.1099106123456Computer-Aided Monitoring of Fetus Health From Ultrasound Images: A ReviewDeniz Ataş0https://orcid.org/0000-0003-0427-1257Yonca Bayrakdar Yılmaz1https://orcid.org/0000-0001-8708-1752İstanbul Üniversitesi, İstanbul, TürkiyeÇanakkale Onsekiz Mart Üniversitesi, Canakkale, TurkiyeComputer aided diagnostic methods have been helping medical experts for monitoring fetus health for many years. The use of new methods has made a positive effect in monitoring the health of fetus as well as the diagnosis of anomalies. This study first introduces the indicators for identifying anomalies in fetus and gives basic information about computer-based methods such as traditional image processing, machine learning and deep learning. Then an overview of existing studies which use novel techniques on monitoring fetus health and anomaly detection from ultrasound images is given. Finally, the main challenges of novel techniques and future directions of research on computer-aided monitoring of fetus health are summarized.https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/F6F39681BA374E89856A76C44C4E3AE6computer-aided diagnosisfetus healthdeep learningmachine learningimage processing |
| spellingShingle | Deniz Ataş Yonca Bayrakdar Yılmaz Computer-Aided Monitoring of Fetus Health From Ultrasound Images: A Review Acta Infologica computer-aided diagnosis fetus health deep learning machine learning image processing |
| title | Computer-Aided Monitoring of Fetus Health From Ultrasound Images: A Review |
| title_full | Computer-Aided Monitoring of Fetus Health From Ultrasound Images: A Review |
| title_fullStr | Computer-Aided Monitoring of Fetus Health From Ultrasound Images: A Review |
| title_full_unstemmed | Computer-Aided Monitoring of Fetus Health From Ultrasound Images: A Review |
| title_short | Computer-Aided Monitoring of Fetus Health From Ultrasound Images: A Review |
| title_sort | computer aided monitoring of fetus health from ultrasound images a review |
| topic | computer-aided diagnosis fetus health deep learning machine learning image processing |
| url | https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/F6F39681BA374E89856A76C44C4E3AE6 |
| work_keys_str_mv | AT denizatas computeraidedmonitoringoffetushealthfromultrasoundimagesareview AT yoncabayrakdaryılmaz computeraidedmonitoringoffetushealthfromultrasoundimagesareview |