01469nam a2200133Ia 4500008004100000041001200041100002000053245009600073260004400169510099600213942000701209999001901216952010001235231221s9999    xx            000 0 und d  aEnglish  aMeenakshi, M M. 0aDermatological disease detection using image processing and machine learningbNatarajan, S.  cJan-May 2019bPES UniversityaBengaluru  aDermatological Diseases are one of the biggest medical issues in 21st century due to its highly complex and expensive diagnosis with difficulties and subjectivity of human interpretation. In cases of fatal diseases like Melanoma diagnosis in early stages play a vital role in determining the probability of getting cured. We believe that the application of automated methods will help in early diagnosis especially with the set of images with variety of diagnosis. Hence, in this article we present a completely automated system of dermatological disease recognition through lesion images, a machine intervention in contrast to conventional medical personnelbased detection. Our model is designed into three phases compromising of data collection and augmentation, designing model and finally prediction. We have used multiple AI algorithms like Convolutional Neural Network and Support Vector Machine and amalgamated it with image processing tools to form a better structure, leading to hig  cCD  c237123d237123  r2024-01-26 00:00:00l0pCD7250w2024-01-26yCD10407000aMLbMLd0000-00-00ECS/PGGRSF1V0