Automatically Generate a Simplified Chest Atlas from the Chest Computed Tomography Using Morphology, Image Segmentation and K-means
碩士 === 國立高雄大學 === 資訊工程學系碩士班 === 97 === With the improvement of technology, computers have given human beings a lot of improvement. These improvements include in our lifestyles and entertainment. Especially in the medical field, computers have given doctors a much more accurate diagnosis of patients....
Main Authors: | Yue-Yang Tsai, 蔡岳洋 |
---|---|
Other Authors: | 殷堂凱 |
Format: | Others |
Language: | en_US |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/dravsf |
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) -
Hybrid Automatic Lung Segmentation on Chest CT Scans
by: Tao Peng, et al.
Published: (2020-01-01) -
Automatic Lung Nodule Classification in Chest Computerized Tomography Images
by: Luís do Couto Gonçalves
Published: (2019) -
On Automatic Image Segmentation for Nuss Surgical Planning of the Funnel Chest
by: Chun Wei Chang, et al.
Published: (2010) -
Accuracy of chest radiography versus chest computed tomography in hemodynamically stable patients with blunt chest trauma
by: Chardoli Mojtaba, et al.
Published: (2013-12-01)