Digital Image Processing

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Cloud Based Solution for Skin Cancer Classification Using Machine Learning Models with Image Segmentation


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1 Global Academy of Technology, Bangalore, India
     

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According to the research 30,000 people are affected by skin cancer per year. Skin cancer is the unusual growth of skin cells. It occurs on the skin area which is exposed to sunlight. It is classified into two types - Melanoma or Benign. In our proposed work, we use deep learning concept in order to perform segmentation and classification of the lesions. We make use of the full resolution Convolutional Network (FrCN) to segment the skin cancer image. Then the segmented image is given as input to a deep residual network for classification.

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  • Cloud Based Solution for Skin Cancer Classification Using Machine Learning Models with Image Segmentation

Abstract Views: 168  |  PDF Views: 0

Authors

S. Rishab Darshan
Global Academy of Technology, Bangalore, India
M. A. Bhuvan
Global Academy of Technology, Bangalore, India
C. Abhishek
Global Academy of Technology, Bangalore, India
R. Sudeep
Global Academy of Technology, Bangalore, India
S. Kumaraswamy
Global Academy of Technology, Bangalore, India

Abstract


According to the research 30,000 people are affected by skin cancer per year. Skin cancer is the unusual growth of skin cells. It occurs on the skin area which is exposed to sunlight. It is classified into two types - Melanoma or Benign. In our proposed work, we use deep learning concept in order to perform segmentation and classification of the lesions. We make use of the full resolution Convolutional Network (FrCN) to segment the skin cancer image. Then the segmented image is given as input to a deep residual network for classification.

Keywords


No Keywords.

References