Intelligent Anomally Detection Of Cell Transformation Using Neurofuzzy Approach Inradiological Images

dc.contributor.guideT R Gopalakirshnan Nair
dc.coverage.spatial
dc.creator.researcherPrajith Prakash Nair
dc.date.accessioned2023-01-23T07:21:21Z
dc.date.available2023-01-23T07:21:21Z
dc.date.awarded2022
dc.date.completed2021
dc.date.registered2014
dc.description.abstractCombination of Receptive Fields (CORF) model is a type of 2 dimensional Gabor function model which uses the response of model Lateral Geniculate Nucleus cells with center surround receptive fields as its input value. A conventional Gabor filter cannot reproduce a number of properties that is produced by the real simple cells. A receptive field map is generated using this filter model with the help of reverse correlation. The basic advantage of CORF filter over the Gabor filter is that it is more effective in analyzing the contour. The work done basically involves analyzing CORF filter with respect to the Gabor filter. The most common method of comparing is by analyzing the response of both the filters by the implementation of its preferred orientation and preferred frequency. Here we compare the outputs of the CORF filter to a shifting grating function and obtained a result similar to a simple RF cell. newline
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions
dc.format.extent108 p.
dc.identifier.urihttp://hdl.handle.net/10603/451932
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science Engineering
dc.publisher.placeBengaluru
dc.publisher.universityJain University
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordEngineering and Technology
dc.titleIntelligent Anomally Detection Of Cell Transformation Using Neurofuzzy Approach Inradiological Images
dc.title.alternative
dc.type.degreePh.D.

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