Classification of Skin Cancer: ANN Trained with Scaled Conjugate Gradient Algorithm

@inproceedings{Sau2018ClassificationOS,
  title={Classification of Skin Cancer: ANN Trained with Scaled Conjugate Gradient Algorithm},
  author={Kartik Sau and Pallavi Saha},
  year={2018}
}
Automatic detection and accurate classification of skin cancer has been achievable with the help of machine learning techniques. Now-a-days, skin cancer has posed to be a dreadful disease mostly seen in the western region of the world. The current work focuses on the automated identification of skin cancer. The proposed method initially deals with pre-processing steps like normalization and image enhancement. Texture based different features of the digital skin images are extracted by using… CONTINUE READING

Results and Topics from this paper.

Key Quantitative Results

  • The ANN-SCG model provides 84.21% accuracy, 83.33% precision, 71.42% f-measure and 76.91% recall which is superior to the SVM and Ensemble classifiers.