Advances in statistical pattern recognition
Proc. of the NATO Advanced Study Institute on Pattern recognition theory and applications
Using Model Trees for Classification
Machine Learning
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A system for the acquisition of reproducible digital skin lesions images
Technology and Health Care
Melanocytic Lesion Images Segmentation Enforcing by Spatial Relations Based Declarative Knowledge
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Computers in Biology and Medicine
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
IEEE Transactions on Information Technology in Biomedicine
A multiple classifier system for early melanoma diagnosis
Artificial Intelligence in Medicine
Introduction to the special section on computationalintelligence in medical systems
IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
Shading attenuation in human skin color images
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Tree structured model of skin lesion growth pattern via color based cluster analysis
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
Skin lesions characterisation utilising clustering algorithms
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Methodological review: Computerized analysis of pigmented skin lesions: A review
Artificial Intelligence in Medicine
A novel tool for segmenting 3D medical images based on generalized cylinders and active surfaces
Computer Methods and Programs in Biomedicine
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During the last years, computer-vision-based diagnosis systems have been used in several hospitals and dermatology clinics, aiming mostly at the early detection of skin cancer, and more specifically, the recognition of malignant melanoma tumour. In this paper, we review the state of the art in such systems by first presenting the installation, the visual features used for skin lesion classification, and the methods for defining them. Then, we describe how to extract these features through digital image processing methods, i.e., segmentation, border detection, and color and texture processing, and we present the most prominent techniques for skin lesion classification. The paper reports the statistics and the results of the most important implementations that exist in the literature, while it compares the performance of several classifiers on the specific skin lesion diagnostic problem and discusses the corresponding findings.