Classification of Skin Lesion using Image Processing

Skin Cancer is the most dangerous type of cancer. The early detection and action can severely reduce the death rate. The advanced technology like machine learning and deep learning makes the possibility of identifying the accurate type of skin disease. The book covers the concept of artificial intelligence, machine learning, deep learning, ensemble learning and shallow neural network in analysis of skin lesion. It also talks about the computer aided diagnostic system in which complete phases from image acquisition, preprocessing, feature extraction, feature reduction and classification through various algorithms is showcased. The database plays a vital role in accurate classification. In this, we have considered the standard dataset for seven types of skin diseases from International Skin Imaging Collaboration(ISIC). The role of DEnSha(Deep, Ensemble and Shallow neural network) is elaborated for early detection and classification of skin disease keeping the performance measures in consideration.

Autorentext
Dr Ginni Arora has earned her doctoral degree in the field of digital image processing and computer vision. She has published quality research papers in reputed journals and conferences. She has filed various patents and copyrights in the domain of Information Technology. She is an esteemed member of various journals and conferences.