Skin Cancer Analysis and Detection






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Skin Cancer Analysis and Detection

Kalaiselvan M P S1,Kirthika P1,Sridhar M1,Sowbarnika P1,Hemanth S1 ,Dr. Priya .S2

1UG Student, Department of Computer Science and Engineering, Coimbatore Institute of Technology

2Associate Professor, Department of Computer Science and Engineering, Coimbatore Institute of Technology

Abstract—The aim of the project is to develop sophisticated machine learning model for analyzing and detecting the type of skin cancer using image analysis and classification technique. Both Inception v3 and RESNET50 were employed to learn from a dataset containing images of various skin cancers. This model gets trained by utilizing the data present in the dataset to achieve real-time performance in analyzing and classifying. This result in detecting the type of cancer based on the photo uploaded by the users. This enables the users to identify the type of skin cancer and results in early detection and also the model suggests some precaution steps.

Keywords—Image Analysis, RESNET50, inception v3, cancer classification and analysis.

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