Skin lesions detection using Convolutional Neural Network / Anis Nadirah Mohd Arman

Skin cancer poses a significant health concern worldwide, emphasizing the need for effective early detection methods to enhance treatment outcomes and patient prognosis. Early detection of skin lesions is crucial as it increases the chances of identifying potentially cancerous growths, enabling time...

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Main Author:	Mohd Arman, Anis Nadirah
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/96524/1/96524.pdf
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id	my-uitm-ir.96524
record_format	uketd_dc
spelling	my-uitm-ir.965242024-06-06T23:28:42Z Skin lesions detection using Convolutional Neural Network / Anis Nadirah Mohd Arman 2024 Mohd Arman, Anis Nadirah Neural networks (Computer science) Skin cancer poses a significant health concern worldwide, emphasizing the need for effective early detection methods to enhance treatment outcomes and patient prognosis. Early detection of skin lesions is crucial as it increases the chances of identifying potentially cancerous growths, enabling timely intervention and improving overall treatment outcomes. Delayed detection may lead to advanced stages of disease, making it more challenging to treat successfully. Skin lesions can be classified as benign or malignant. Individuals with suspected skin lesions are strongly encouraged to consult healthcare professionals for a comprehensive evaluation. This study introduces the skin lesions detection system using convolutional neural network. The system was developed to detect the human skin whether it is normal or lesions skin. The system incorporates image preprocessing, including resizing and normalization, to enhance feature extraction. Utilizing the powerful CNN model known for its proficiency in learning hierarchical representations from image data, the system achieves an impressive accuracy of 98%. 2024 Thesis https://ir.uitm.edu.my/id/eprint/96524/ https://ir.uitm.edu.my/id/eprint/96524/1/96524.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Ismail, Habibah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ismail, Habibah
topic	Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Mohd Arman, Anis Nadirah Skin lesions detection using Convolutional Neural Network / Anis Nadirah Mohd Arman
description	Skin cancer poses a significant health concern worldwide, emphasizing the need for effective early detection methods to enhance treatment outcomes and patient prognosis. Early detection of skin lesions is crucial as it increases the chances of identifying potentially cancerous growths, enabling timely intervention and improving overall treatment outcomes. Delayed detection may lead to advanced stages of disease, making it more challenging to treat successfully. Skin lesions can be classified as benign or malignant. Individuals with suspected skin lesions are strongly encouraged to consult healthcare professionals for a comprehensive evaluation. This study introduces the skin lesions detection system using convolutional neural network. The system was developed to detect the human skin whether it is normal or lesions skin. The system incorporates image preprocessing, including resizing and normalization, to enhance feature extraction. Utilizing the powerful CNN model known for its proficiency in learning hierarchical representations from image data, the system achieves an impressive accuracy of 98%.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Arman, Anis Nadirah
author_facet	Mohd Arman, Anis Nadirah
author_sort	Mohd Arman, Anis Nadirah
title	Skin lesions detection using Convolutional Neural Network / Anis Nadirah Mohd Arman
title_short	Skin lesions detection using Convolutional Neural Network / Anis Nadirah Mohd Arman
title_full	Skin lesions detection using Convolutional Neural Network / Anis Nadirah Mohd Arman
title_fullStr	Skin lesions detection using Convolutional Neural Network / Anis Nadirah Mohd Arman
title_full_unstemmed	Skin lesions detection using Convolutional Neural Network / Anis Nadirah Mohd Arman
title_sort	skin lesions detection using convolutional neural network / anis nadirah mohd arman
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2024
url	https://ir.uitm.edu.my/id/eprint/96524/1/96524.pdf
_version_	1804889992771665920

Skin lesions detection using Convolutional Neural Network / Anis Nadirah Mohd Arman

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