Please use this identifier to cite or link to this item:
Title: Medical image processing
Authors: Chen, Guanyu
Keywords: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2019
Abstract: Medical image processing techniques help make important decisions in disease diagnosis and prescription of medical treatment in various clinical settings. When used in conjunction with medical professionals, such techniques can improve detection outcomes. Image segmentation is one such technique used to deal with medical images. The medical image processing techniques involving image segmentation are used mainly to delineate organs or anatomical structures of interest from medical images before the diagnosis of various disease is made. Lung segmentation, which involves identifying the boundaries of lungs on computed tomographic (CT) images, is a crucial step in the diagnosis of many lung diseases. This report will discuss the use of active contours in performing lung segmentation on CT images as well as other areas in which image segmentation is performed.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_Chen_Guanyu (1).pdf
  Restricted Access
1.04 MBAdobe PDFView/Open

Page view(s) 50

checked on Oct 25, 2020

Download(s) 50

checked on Oct 25, 2020

Google ScholarTM


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