Please use this identifier to cite or link to this item:
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.
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.
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
WANG SHANGYU-Dissertation (Amended Final Version.pdf.pdf
  Restricted Access
Dissertation (Final Version))2.91 MBAdobe PDFView/Open

Page view(s)

Updated on Dec 6, 2023


Updated on Dec 6, 2023

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.