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OverviewSkin cancer remains one of the most widespread cancers globally, and detecting it early plays a vital role in ensuring effective treatment. However, traditional diagnosis methods depend heavily on the expertise of dermatologists, which can make the process slow and costly. This project introduces an automated approach to skin cancer detection using a combination of deep learning and machine learning techniques, aimed at supporting early and efficient diagnosis. To improve accuracy and reliability, several preprocessing steps were applied, including image augmentation, normalization, and class balancing. The model was further enhanced using transfer learning with pre-trained ImageNet weights, allowing it to perform well even with limited data. Full Product DetailsAuthor: Shalini Yadav , Rishikesh ChauhanPublisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 0.40cm , Length: 22.90cm Weight: 0.104kg ISBN: 9786208449827ISBN 10: 6208449820 Pages: 68 Publication Date: 11 June 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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