5. Conclusion and future work

In this work, we have developed an automatic diagnostic system using image processing techniques for preliminary diagnosis of melanoma based on the wellproven commonly used ABCD medical procedure. The proposed work used different image processing capabilities to achieve fast, affordable, easily available and highly accurate melanoma diagnosis. The overall process includes multiple modules for handling various steps: noise removal, contrast enhancement, lesion segmentation, features extraction, and classification (diagnosis).

Diagnosis of Skin Lesions Based on Dermoscopic Images Using Image Processing Techniques DOI: http://dx.doi.org/10.5772/intechopen.88065

The achieved results show an acceptable performance rates, an accuracy 90%, sensitivity 85%, and specificity 92.22%.

The following opportunities are suggested for future work:

