Comparative Study of Classification Techniques Used in Skin Lesion Detection Systems

Welcome to DSpace BU Repository

Welcome to the Bahria University DSpace digital repository. DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.

Show simple item record

dc.contributor.author Uzma Jamil
dc.contributor.author Shehzad Khalid
dc.date.accessioned 2017-12-26T11:11:46Z
dc.date.available 2017-12-26T11:11:46Z
dc.date.issued 2014
dc.identifier.uri http://hdl.handle.net/123456789/5183
dc.description.abstract The major branch of data mining used to assign raw data to a particular group is classification. It is a method used to forecast the group association for data objects. Medical Imaging is dealing with the designing of automated systems to help physician diagnosis. In this paper, we present the comprehensive study of some classification techniques used in Medical Imaging. Several types of classification methods including Support Vector Machine, Bayesian networks, Neural networks, k-nearest neighbor classifier, and fuzzy logic techniques are used for this purpose. This study is providing a wide-ranging review of classification techniques used in medical diagnostic systems like diabetic retinopathy, foot ulcer and other related to medical field. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.subject Department of Computer Engineering CE en_US
dc.title Comparative Study of Classification Techniques Used in Skin Lesion Detection Systems en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account