Skin Cancer Detection using Deep Learning
Raman Kumar, Amarjeet Singh, Sparsha Srinath, Nimal Kurien Thomas, Vishal Arasu
Abstract
Identifying melanoma at the early stages of diagnosis is imperative as early detection can exponentially increase one’s chances of cure. The paper first proposes a literature survey of multiple methods used for performing skin cancer classification. Our methodology consists of using Convolutional Neural Network (CNN) to identify and diagnose the skin cancer using the IS IC dataset containing 2637 images. The proposed model gives an accuracy of 88% for classifying the training dataset as either benign or malignant.
Topics & Concepts
Computer scienceDeep learningCancer detectionArtificial intelligenceCancerMedicineInternal medicineCutaneous Melanoma Detection and ManagementAI in cancer detectionNonmelanoma Skin Cancer Studies