Lungs segmentation using wavelet packet frames (P-0099) (MFN 4675)

dc.contributor.author	Osama Arshad, 01-133102-221
dc.contributor.author	Syed Ali Abbas, 01-133102-235
dc.date.accessioned	2017-07-13T05:29:03Z
dc.date.available	2017-07-13T05:29:03Z
dc.date.issued	2014
dc.identifier.uri	http://hdl.handle.net/123456789/2461
dc.description	Supervised by Mr. Imran Fareed Nizami	en_US
dc.description.abstract	Computer-Aided Diagnosis of lung nodules offers a more exact technique for nodule identification which prompts dependable analysis of lung tumor. The segmentation of lungs is a first phase for the detection of nodules. In this project, the segmentation of lungs is successfully done by wavelet packet frames. The proposed technique chooses the ideal wavelet representation that is a gathering of wavelet packet frames. The frames are in this way utilized for grouping of coefficients utilizing k-means, density based and mean shift clustering which prompts the segmented lung area. Besides, the proposed system is completely computerized and is fit for sectioning lung tissue in various cuts with no change in parameters or manual mediation.	en_US
dc.language.iso	en	en_US
dc.publisher	Computer Engineering, Bahria University Engineering School Islamabad	en_US
dc.relation.ispartofseries	BCE;P-0099
dc.subject	Computer Engineering	en_US
dc.title	Lungs segmentation using wavelet packet frames (P-0099) (MFN 4675)	en_US
dc.type	Project Report	en_US