Title :
Melanoma skin cancer detection and classification based on supervised and unsupervised learning
Author :
Mhaske, H.R. ; Phalke, D.A.
Author_Institution :
D.Y. PCOE, Akurdi, India
Abstract :
Image processing is having very important role in medical domain. Melanoma skin cancer is critical and dangerous for human beings. Early detection of Melanoma skin cancer is very much necessary for the patient because this Melanoma skin cancer directly lead to the death of a person. If it is detected at early stage then Melanoma skin cancer is completely curable. In this paper early detection and classification of Melanoma skin cancer is done using different classifiers as Neural Network and Support Vector Machine.
Keywords :
cancer; image classification; medical image processing; skin; support vector machines; unsupervised learning; image processing; medical domain; melanoma skin cancer classification; melanoma skin cancer detection; neural network classifiers; supervised learning; support vector machine; unsupervised learning; Accuracy; Biomedical imaging; Cancer; Image segmentation; Malignant tumors; Skin; Support vector machines; Medical Images; Neural Network; Support Vector Machine; Wavelet; lesions;
Conference_Titel :
Circuits, Controls and Communications (CCUBE), 2013 International conference on
Conference_Location :
Bengaluru
Print_ISBN :
978-1-4799-1599-6
DOI :
10.1109/CCUBE.2013.6718539
