Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/584977
Title: | Leveraging Ensemble Models With RESNET And VGG 16 For Enhanced Melanoma Detection |
Researcher: | Chauhan,Rosey |
Guide(s): | Gupta,Sunil |
Keywords: | Computer Science Computer Science Artificial Intelligence Engineering and Technology |
University: | Jaipur National University |
Completed Date: | 2024 |
Abstract: | ABSTRACT 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 |
Pagination: | |
URI: | http://hdl.handle.net/10603/584977 |
Appears in Departments: | Department of Computer and System Sciences |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
02_prelim_pages.pdf | Attached File | 148.75 kB | Adobe PDF | View/Open |
80_recommendation.pdf | 128.12 kB | Adobe PDF | View/Open | |
abstract.pdf | 77.63 kB | Adobe PDF | View/Open | |
chapter_1.pdf | 360 kB | Adobe PDF | View/Open | |
chapter_2.pdf | 557.94 kB | Adobe PDF | View/Open | |
chapter_4.pdf | 5.81 MB | Adobe PDF | View/Open | |
chapter_5.pdf | 128.12 kB | Adobe PDF | View/Open | |
title.pdf | 18.12 kB | Adobe PDF | View/Open |
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