Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM)

• Published in: Asian Pacific journal of cancer prevention : APJCP Vol. 20; no. 5; pp. 1555 - 1561
• Main Authors: R D, Seeja, A, Suresh
• Format: Journal Article
• Language: English
• Published: Thailand West Asia Organization for Cancer Prevention 25.05.2019
• Subjects: Algorithms; Bayes Theorem; Cluster Analysis; Deep Learning; Dermoscopy - methods; Humans; Image Processing, Computer-Assisted - methods; Melanoma - pathology; Skin - pathology; Skin Diseases - pathology; Skin Neoplasms - pathology; Support Vector Machine; deep learning; segmentation; classification; Melanoma; dermoscopy

Objective: The main objective of this study is to improve the classification performance of melanoma using deep learning based automatic skin lesion segmentation. It can be assist medical experts on early diagnosis of melanoma on dermoscopy images. Methods: First A Convolutional Neural Network (CNN)...