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

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

Abstract Background Melanoma 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 experie...

Full description

Bibliographic Details
Main Authors: M. Attique Khan, Tallha Akram, Muhammad Sharif, Aamir Shahzad, Khursheed Aurangzeb, Musaed Alhussein, Syed Irtaza Haider, Abdualziz Altamrah
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Cancer
Subjects:
Image enhancement
Uniform distribution
Image fusion
Multi-level features extraction
Features fusion
Features selection
Online Access:http://link.springer.com/article/10.1186/s12885-018-4465-8

Internet

http://link.springer.com/article/10.1186/s12885-018-4465-8

Similar Items