Image processing and algorithms for medical applications

• Main Author: Wang, Shangyu
• Other Authors: Mohammed Yakoob Siyal
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/161968
• Institution: Nanyang Technological University

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.