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Data Fusion Techniques for Biomedical Informatics and Clinical Decision Support
Başlık:
Data Fusion Techniques for Biomedical Informatics and Clinical Decision Support
Yazar:
Guo, Peng, author.
ISBN:
9780438111646
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (135 pages)
Genel Not:
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Advisors: Ronald J. Stanley Committee members: Randy H. Moss; Vanniarachchige A. Samaranayake; Bijaya Shrestha; William V. Stoecker; Donald C. Wunsch.
Özet:
Data fusion can be used to combine multiple data sources or modalities to facilitate enhanced visualization, analysis, detection, estimation, or classification. Data fusion can be applied at the raw-data, feature-based, and decision-based levels. Data fusion applications of different sorts have been built up in areas such as statistics, computer vision and other machine learning aspects. It has been employed in a variety of realistic scenarios such as medical diagnosis, clinical decision support, and structural health monitoring. This dissertation includes investigation and development of methods to perform data fusion for cervical cancer intraepithelial neoplasia (CIN) and a clinical decision support system. The general framework for these applications includes image processing followed by feature development and classification of the detected region of interest (ROI). Image processing methods such as k-means clustering based on color information, dilation, erosion and centroid locating methods were used for ROI detection. The features extracted include texture, color, nuclei-based and triangle features. Analysis and classification was performed using feature- and decision-level data fusion techniques such as support vector machine, statistical methods such as logistic regression, linear discriminant analysis and voting algorithms.
Notlar:
School code: 0587
Tüzel Kişi Ek Girişi:
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(688327.1) | 688327-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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