Skin Cancer Detection using Different Types of CNN Models |
Author(s): |
| Satyam Tiwari , B.K Birla College Kalyan, (Empowered Autonomous Status), India |
Keywords: |
| Skin Cancer, CNN Models |
Abstract |
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One of the most serious types of cancer, skin cancer affects millions of individuals each year. It is expensive and difficult to identify skin cancer in its early stages. This study aims to develop a precise, accurate approach for detecting skin cancer. This research investigates the application of convolutional neural network (CNN) in skin cancer classification using a diverse dataset comprising three classes: benign, basal cell carcinoma and melanoma. This study used four different types of CNN architectures like VGG19, inception3, LeNet and DenseNet. This study makes a significant contribution to the field of medical image analysis by providing guidance for the creation of a trustworthy and reliable AI-driven system for the detection of skin cancer. |
Other Details |
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Paper ID: IJSRDV11I80042 Published in: Volume : 11, Issue : 8 Publication Date: 01/11/2023 Page(s): 63-66 |
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