Computer-aided Diagnosis of Melanoma: A Review of Existing Knowledge and Strategies

Author(s): Ananjan Maiti*, Biswajoy Chatterjee, Amira S. Ashour, Nilanjan Dey

Journal Name: Current Medical Imaging
Formerly: Current Medical Imaging Reviews

Volume 16 , Issue 7 , 2020

Become EABM
Become Reviewer

Graphical Abstract:


Abstract:

Computer-aided diagnosis (CAD) systems are the best alternative for immediate disclosure and diagnosis of skin diseases. Such systems comprise several image processing procedures, including segmentation, feature extraction and artificial intelligence (AI) based methods. This survey highlights different CAD methodologies for diagnosing Melanoma and related skin diseases. It has also discussed types, stages, treatments and various imaging techniques of skin cancer. Currently, researchers developed new techniques to detect each stage. Extensive studies on melanoma cancer detection were performed by incorporating advanced machine learning. Still, there is a high need for an accurate, faster, affordable, portable methodology for a CAD system. This will strengthen the work in related fields and address the future direction of a similar kind of research.

Keywords: Skin cancer, melanoma, CAD, treatment, pre-processing, segmentation, classification.

Rights & PermissionsPrintExport Cite as

Article Details

VOLUME: 16
ISSUE: 7
Year: 2020
Page: [835 - 854]
Pages: 20
DOI: 10.2174/1573405615666191210104141
Price: $65

Article Metrics

PDF: 4