An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification

@inproceedings{Khan2018AnIO,
  title={An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification},
  author={Murad Khan and Tallha Akram and Muhammad Sharif and Aamir Shahzad and Khursheed Aurangzeb and Musaed Alhussein and Syed Irtaza Haider and Abdualziz Altamrah},
  booktitle={BMC Cancer},
  year={2018}
}
  • Murad Khan, Tallha Akram, +5 authors Abdualziz Altamrah
  • Published in BMC Cancer 2018
  • Medicine
  • BackgroundMelanoma is the deadliest type of skin cancer with highest mortality rate. However, the annihilation in its early stage implies a high survival rate therefore, it demands early diagnosis. The accustomed diagnosis methods are costly and cumbersome due to the involvement of experienced experts as well as the requirements for the highly equipped environment. The recent advancements in computerized solutions for this diagnosis are highly promising with improved accuracy and efficiency… CONTINUE READING

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