Skin cancer detection using Image Processing in ML

Abstract

Skin cancer nowadays is becoming one of the biggest threats for human lives. Various people across the world are being affected by skin cancer and losing their lives. Skin cancer basically can be divided into 3 categories namely - Melanoma, basal, Squamous cell Carcinoma, Melanoma is the most dangerous type of skin cancer among the above types. As the world is developing day by day there are various new technologies developed to treat and to detect skin cancer. As skin cancer in earlier days was not so easy to detect as, skin cancer is basically a spot or a patch on any part of the skin, which can easily be confused with a mole or some sort of birthmark, and so can easily be neglected and if skin cancer not detected at correct time can be very fatal and at if reached at extreme case leads to death. Through this peer we will be discussing about one of the process known as dermoscopy, used to detect skin cancer. There are various other methods to detect or diagnose skin cancer few of them are sonography, confocal microscopy, Raman spectroscopy, fluorescence spectroscopy, terahertz spectroscopy, optical coherence tomography, photography, etc. In short dermoscopy works as of providing clear picture of the skin inner layers and help in proper and accurate detection of skin cancer.