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dc.contributor.authorSubasi, Abdulhamit
dc.date.accessioned2023-03-13T10:02:13Z
dc.date.available2023-03-13T10:02:13Z
dc.date.issued2023-01-20
dc.identifier.citationAbdulhamit Subasi, Chapter 1 - Introduction to artificial intelligence techniques for medical image analysis, Editor(s): Abdulhamit Subasi, In Artificial Intelligence Applications in Healthcare&Medicine, Applications of Artificial Intelligence in Medical Imaging, Academic Press, 2023, Pages 1-49, ISBN 9780443184505, https://doi.org/10.1016/B978-0-443-18450-5.00010-4. (https://www.sciencedirect.com/science/article/pii/B9780443184505000104)en_US
dc.identifier.isbn9780443184505en_US
dc.identifier.doihttps://doi.org/10.1016/B978-0-443-18450-5.00010-4en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/628
dc.description.abstractAs the main goal of artificial intelligence (AI) is to provide inference from a sample, it employs statistics theory to develop mathematical models. When a model is constructed, its description and algorithmic solution for understanding must be competent. In some cases, the AI algorithm’s competency may be just as crucial as its classification accuracy. AI is applied in a variety of domains, such as anomaly detection, forecasting, medical signal/image analysis as a decision support component, and so on. The goal of this chapter is to assist scientists in selecting an acceptable AI approach and then guiding them in determining the best strategy by utilizing medical imaging. Furthermore, to introduce readers with the fundamentals of AI before digging into tackling real-world issues with AI methodologies. Machine learning, deep learning, and transfer learning are examples of basic ideas discussed. Topics relating to the various AI methodologies, such as supervised and unsupervised learning, will be covered. As a result, the key AI algorithms are discussed briefly in this chapter. Relevant PYTHON programming codes and routines are provided in each section.en_US
dc.publisherAcademic Pressen_US
dc.subjectImage Analysisen_US
dc.subjectArtificial Neural Networks (ANN)en_US
dc.subjectK-Nearest Neighbor (k-NN)en_US
dc.subjectDecision Tree Algorithmen_US
dc.subjectSupport Vector Machine (SVM)en_US
dc.subjectRandom Foresten_US
dc.subjectBaggingen_US
dc.subjectBoostingen_US
dc.subjectXGBoosten_US
dc.subjectDeep Learning (DL)en_US
dc.subjectLSTMen_US
dc.subjectConvolutional Neural Networks (CNNs)en_US
dc.subjectClusteringen_US
dc.titleIntroduction to artificial intelligence techniques for medical image analysisen_US
dc.source.booktitleApplications of Artificial Intelligence in Medical Imaging.en_US
dc.source.volumeArtificial Intelligence Applications in Healthcare&Medicine;
dc.source.pages1-49en_US
dc.contributor.researcherNo Collaborationen_US
dc.contributor.labArtificial Intelligence & Cyber Security Laben_US
dc.subject.KSAHEALTHen_US
dc.source.indexScopusen_US
dc.contributor.departmentComputer Scienceen_US
dc.contributor.firstauthorSubasi, Abdulhamit


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