Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/584977
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-08-22T11:52:46Z-
dc.date.available2024-08-22T11:52:46Z-
dc.identifier.urihttp://hdl.handle.net/10603/584977-
dc.description.abstractABSTRACT newlineSkin cancer is the irregular progress of membrane cells and it is one of the most hazardous newlineforms of cancer. Skin cancer is caused by unrecovered deoxyribonucleic acid (DNA) in skin newlinecells and also caused by the direct contact of sun on the skin, which give rise to genetic defects newlineor mutations on the skin. Skin cancer is more curable in early stages as its moderately blowout newlineover other body parts. The symptoms of skin cancer must be diagnosed in early stage for newlineprevention of high mortality rate, expensive medicinal action as the cases is rising yearly. If the newlineskin cancer detected in initial stage the rate of survival is 97% as compared to advance stage newlineof detection of the disease. Skin cancer is one of the supreme active and hazardous kinds of newlinecancer. Human body s sizeable organ is skin. Skin cancer is commonly classified into two newlinemajor categories: melanoma and nonmelanoma skin cancer. Melanoma is an unpredictable, newlineinfrequent, and deadly category of skin cancer. The most common symptoms of Melanoma newlineCancer are pigmentation, redness or swelling on the skin that spreads outside the border of a newlinespot to the redness or swelling those spreads outside the edge of a spot to the adjacent skin and newlineit causes irritation, aching and inflammation. It also sources bleeding from a present mole, newlinechanges in texture or scales. Mostly melanomas are dark brown or black in colour and are newlinefrequently defined as different and ugly looking textures. newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleLeveraging Ensemble Models With RESNET And VGG 16 For Enhanced Melanoma Detection
dc.title.alternative
dc.creator.researcherChauhan,Rosey
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideGupta,Sunil
dc.publisher.placeJaipur
dc.publisher.universityJaipur National University
dc.publisher.institutionDepartment of Computer and System Sciences
dc.date.registered2020
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer and System Sciences

Files in This Item:
File Description SizeFormat 
02_prelim_pages.pdfAttached File148.75 kBAdobe PDFView/Open
80_recommendation.pdf128.12 kBAdobe PDFView/Open
abstract.pdf77.63 kBAdobe PDFView/Open
chapter_1.pdf360 kBAdobe PDFView/Open
chapter_2.pdf557.94 kBAdobe PDFView/Open
chapter_4.pdf5.81 MBAdobe PDFView/Open
chapter_5.pdf128.12 kBAdobe PDFView/Open
title.pdf18.12 kBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: