Image processing for skin cancer detection: Malignant melanoma recognition

grantor: University of TorontoIn order to achieve an effective way to identify malignant melanoma at an early stage without performing any unnecessary skin biopsies, digital image analysis of the images is investigated. For the detection of malignant melanoma, appropriate analyses are done on the tumor images according to the clinical characteristics that early melanoma possesses. In the last stage, classification is done based on the results obtained from the above mentioned analyses. The tumors are classified as either "potential malignant melanoma" or "non-melanoma". This can reduce the time spent and pain received by the patients in detecting early malignant melanoma. The major purpose of this thesis is to help in identifying early malignant melanoma and aid in early diagnosis to help to reduce the death rate caused by this deadliest disease.M.A.Sc