Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/468738
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dc.coverage.spatialA study on effective Skin Image Analysis for Melanoma Detection
dc.date.accessioned2023-03-14T08:23:33Z-
dc.date.available2023-03-14T08:23:33Z-
dc.identifier.urihttp://hdl.handle.net/10603/468738-
dc.description.abstractResearch on Skin Cancer Cell Detection Using Image Processing is newlinemore challenging approach and has very strong potential influence among newlineseveral research communities. Melanoma is considered the most deadly form newlineof skin cancer and is caused by the development of a malignant tumor of the newlinemelanocytes. The objective of the skin cancer detection project is to develop newlinea framework to analyze and assess the risk of melanoma using dermatological newlinephotographs taken with a standard consumer-grade camera. Skin cancer newlineanalysis has several phases involved in it. The input to the system is the skin newlinelesion image and then by applying novel image processing techniques to newlineconclude about the presence of skin cancer. Depending on the mechanism newlineused to evaluate the skin lesion. Melanoma diagnosis schemes can be newlineclassified into the following classes: manual methods, which require the newlinevisual inspection by an experienced dermatologist, and automated (computedaided) newlineschemes. newline
dc.format.extentxv,122p.
dc.languageEnglish
dc.relationp.107-121
dc.rightsuniversity
dc.titleA study on effective Skin Image Analysis for Melanoma Detection
dc.title.alternative
dc.creator.researcherNaveen Raju D
dc.subject.keywordCancer
dc.subject.keywordMelanoma Detection
dc.subject.keywordSin Image
dc.description.note
dc.contributor.guideHariharan S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions21cm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File22.96 kBAdobe PDFView/Open
02_prelim pages.pdf1.9 MBAdobe PDFView/Open
03_content.pdf7.58 kBAdobe PDFView/Open
04_abstract.pdf5.6 kBAdobe PDFView/Open
05_chapter 1.pdf374.54 kBAdobe PDFView/Open
06_chapter 2.pdf380.83 kBAdobe PDFView/Open
07_chapter 3.pdf96.36 kBAdobe PDFView/Open
08_chapter 4.pdf171.12 kBAdobe PDFView/Open
09_chapter 5.pdf543.22 kBAdobe PDFView/Open
10_chapter 6.pdf8.14 kBAdobe PDFView/Open
11_annexures.pdf376.69 kBAdobe PDFView/Open
80_recommendation.pdf52.74 kBAdobe PDFView/Open


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