A CNN Framework For Classification Of Melanoma And Benign Lesions On Dermatoscopic Skin Images
Journal: International Journal of Advanced Networking and Applications (Vol.13, No. 02)Publication Date: 2021-10-28
Authors : Erdal Özbay; Feyza Altunbey Özbay;
Page : 4874-4883
Keywords : Classification; CNN; Deep learning; Image processing; Melanoma;
Abstract
Melanoma is the most common type of skin cancer due to a genetic predisposition. In recent years, it has been determined that the number of different types of skin cancer has increased worldwide and caused a large number of deaths. Some skin cancers, such as melanoma and its derivatives, can be prevented, but early and accurate diagnosis is very important for treatment. Image processing techniques in medical applications are frequently used in the diagnosis, follow-up, and treatment processes of skin cancer. However, manual control of medical images is laborious and time-consuming and is vulnerable to expert errors in the interpretation of images. Developing a safe and autonomous classification system for medical applications is a fundamental need. In this study, a CNN-based deep learning framework has been developed in which the HAM10000 dataset, a dermatoscopic clinical skin image collection, has been classified for skin cancer detection. Classification preprocessing using contrast limited adaptive histogram equalization is demonstrated by the accuracy results that improve the recognition of subtle features of class labels. A 45-layer model is proposed for classification. With this developed model, an accuracy rate of 99.69% has been achieved. The results show that the proposed model achieves high accuracies and F-measures with low false-negative compared to known classifiers. This CNN model showed the best two-level performance classifying melanoma and benign cases as nevi and non-nevi. It has emphasized that skin cancer can be detected early with the proposed model and can contribute to the execution of the treatment process.
Other Latest Articles
- INTERNATIONAL PUBLIC LAW: FRAGMENTATION AND REGIONALIZATION
- EVIDENCE AND PROOF IN CIVIL PROCEDURE LAW OF UKRAINE: COMPLIANCE WITH INTERNATIONAL STANDARDS
- PROBLEMS OF VIOLATION OF HUMAN RIGHTS AND FREEDOMS BY RELATED STATES AND POSSIBLE CONSEQUENCES FOR THE INTERNATIONAL ARENA
- SOME ASPECTS OF IMPROVE THE PROSECUTOR’S WORK AND INCREASE PUBLIC CONFIDENCE IN THE PROSECUTION AUTHORITIES OF UKRAINE
- IMPROVING PUBLIC CONTROL OVER THE PROFESSIONAL QUALITY OF JUDGES
Last modified: 2021-11-08 18:01:35