ResNetVision: Harnessing Deep Learning for Early Skin Cancer Detection

The skin is the largest organ of the human body. The skin is essential to regulating the body temperature and relaying sensations. Unfortunately, there is an increasing prevalence of skin-related diseases, even skin cancer which can be lethal, due to a host of factors like genetic influences, enviro...

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Vydáno v:2025 International Conference on Computing and Communication Technologies (ICCCT) s. 1 - 5
Hlavní autoři: S, Sheeba Rachel, S, Raahul K, S, Vignesh J, R, Ramya
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 16.04.2025
Témata:
Accuracy
Advanced Optimization Algorithms
Computer architecture
Convolutional neural networks
Deep learning
Diagnostic Technologies
Ensemble Learning
Skin
Skin cancer
Skin Diseases
Temperature
Temperature sensors
Testing
Transfer learning
ISSN:2995-3197
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Shrnutí:The skin is the largest organ of the human body. The skin is essential to regulating the body temperature and relaying sensations. Unfortunately, there is an increasing prevalence of skin-related diseases, even skin cancer which can be lethal, due to a host of factors like genetic influences, environmental polluters, and unhealthy diet. For effective complication remediation and life saving, these diseases must be dealt with in a timely fashion. Traditional diagnostic procedures normally take time and have errors, resulting in less than ideal results. This particular area of research deals with skin cancer and provides a new method for its early and accurate detection using modern computer technologies such as deep learning and [machine learning. The curation and the preprocessing of the big dataset which consists of images of skin lesions is accomplished through the use of the modern Convolutional Neural Network (CNN) methods.
ISSN:2995-3197
DOI:10.1109/ICCCT63501.2025.11019928