DIAGNOSIS OF SKIN CANCER USING IMAGE PROCESSING

dc.contributor.authorAKSHAY REDDY . C
dc.contributor.authorDIVYA TEJA K.S
dc.contributor.authorVIRENDRA SINGH
dc.date.accessioned2019-06-13T12:50:07Z
dc.date.available2019-06-13T12:50:07Z
dc.date.issued2019-06-13T12:50:07Z
dc.description.abstractCancer is the leading cause of death in economically developed and developing countries and the second leading cause of death in developing countries. Skin cancer is the most commonly diagnosed type of cancer among men and women. Exposure to UV rays, modernize diets, smoking, alcohol and nicotine are the main cause. Cancer is increasingly recognized as a critical public health problem across India. There are three type of skin cancer and they are recognized based on their own properties. In view of this, a digital image processing technique is proposed to recognize and predict the different types of skin cancers using digital image processing techniques and machine learning.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/10427
dc.language.isoenen_US
dc.subject1NH13EC022en_US
dc.subject1NH14EC061en_US
dc.subject1NH15EC126en_US
dc.titleDIAGNOSIS OF SKIN CANCER USING IMAGE PROCESSINGen_US
dc.typeOtheren_US
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