CT Image Segmentation Based on clustering Methods.
Background: image processing of medical images is major method to increase reliability of cancer diagnosis. Methods: The proposed system proceeded into two stages: First, enhancement stage which was performed using of median filter to reduce the noise and artifacts that present in a CT image of a hu...
Main Authors: | Rand K. Mohammed, Asmaa A. Ajwad |
---|---|
Format: | Article |
Language: | English |
Published: |
College of Medicine University of Baghdad
2010-07-01
|
Series: | مجلة كلية الطب |
Subjects: | |
Online Access: | http://iqjmc.uobaghdad.edu.iq/index.php/19JFacMedBaghdad36/article/view/1033 |
Similar Items
-
Semantic Cardiac Segmentation in Chest CT Images Using K-Means Clustering and the Mathematical Morphology Method
by: Beanbonyka Rim, et al.
Published: (2021-04-01) -
COMPARISON OF APPLE IMAGE SEGMENTATION USING BINARY CONVERSION AND K-MEANS CLUSTERING METHODS
by: Siti Nurdiani, et al.
Published: (2021-03-01) -
Clustering-based interactive image segmentation
by: B. A. Zalesky
Published: (2024-06-01) -
Unsupervised Learning for the Automatic Counting of Grains in Nanocrystals and Image Segmentation at the Atomic Resolution
by: Woonbae Sohn, et al.
Published: (2024-10-01) -
Analisis dan Perbandingan Kualitas Pengelompokan Dokumen (Document Clustering) Dengan Menggunakan Metode K-Means Dan K-Medians
by: Bustami Bustami
Published: (2015-12-01)