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Lungs Segmentation and Nodule Detection using Machine Learning

Language EnglishEnglish
Book Paperback
Book Lungs Segmentation and Nodule Detection using Machine Learning Arfan Jaffar
Libristo code: 06840831
Publishers VDM Verlag, April 2011
Segmentation of images has become an important and effective tool for many technological application... Full description
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Segmentation of images has become an important and effective tool for many technological applications like lungs segmentation from CT scan images. The objective of this book is to develop a new fully automated system that segment the lungs part from CT scan images and detect nodules automatically. A fully automatic un-supervised strategy has been developed for the segmentation of lungs. Technique employs a novel background removal operator based on histogram of the image to remove the background very intelligently and automatically. The methodology utilizes spatial Fuzzy C-Mean (FCM) clustering to ensure robustness against the noise. Also a fuzzy histogram based image filtering technique has been used to remove the noise, which preserves the image details for low as well as highly corrupted images. Segments have been validated by using different cluster validity functions. The proposed technique finds out optimal and dynamic threshold by using fuzzy entropy and genetic algorithms. A directional approach has been used to extract the Region of Interests (ROIs) and FCM have been used to classify ROIs that contain nodule.

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About the book

Full name Lungs Segmentation and Nodule Detection using Machine Learning
Language English
Binding Book - Paperback
Date of issue 2011
Number of pages 164
EAN 9783639342802
ISBN 3639342801
Libristo code 06840831
Publishers VDM Verlag
Weight 249
Dimensions 152 x 229 x 10
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