Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161968
Title: Image processing and algorithms for medical applications
Authors: Wang, Shangyu
Keywords: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Wang, S. (2022). Image processing and algorithms for medical applications. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/161968
Abstract: Medicine was one of the earliest fields that applied digital image processing. Nowadays, medical image processing has been a necessary step for clinic us age, supporting physicians in decision making. This dissertation investigated the six main tasks: denoising, enhancement, registration, fusion, segmentation, clas sification in the sequence of application order in medical image processing in the aspect of the entire computer-aided diagnosis procedure, and summarized the development of methods in each task. Some representative algorithms in the task of image denoising, enhancement, registration and segmentation are imple mented and compared.
URI: https://hdl.handle.net/10356/161968
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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