Overview of Advanced Computer Vision Systems

for Skin Lesions Characterization

IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 13, NO. 5, SEPTEMBER 2

009Ilias Maglogiannis, Member, IEEE, and Charalampos N. Do

ukas, Student Member, IEEEPresentor: 陳麒文

OutlineOutline

Skin cancer back-

Ground information Materials and methods

Image Acquisition Techniques Definition of Features for the Classification of

Skin Lesions Skin lesion classification methods Results

Definition of Features for the Classification of Skin Lesions ABCD Rule pattern analysis Menzies method seven-point checklist; texture analysis

ABCD rulesABCD rules

asymmetry border color differential structures

Pattern analysisPattern analysis Menzies methodMenzies method Seven-point check listSeven-point check list

atypical pigment network, blue-whitish veil, atypical vascular pattern

irregular streaks, irregular dots/globules, irregular blotches, and regression structures

Texture analysisTexture analysis

SKIN LESION CLASSIFICATION METHODS

Learning Phase statistical Neural networks support vector machine (SVM) adaptive wavelet-transform-based tree-structure cl

assification (ADWAT) Testing Phase

Feature selectionFeature selection

The success of image recognition depends on the correct selection of the features => optimization problem

heuristic strategies, greedy or genetic algorithms

strategies from statistical pattern recognition

XVAL, LOO, SFFS, SBFS, PCA, GSFS

RESULTS FROM EXISTING SYSTEMS

Conclusion It is often difficult to differentiate early melanoma fro

m other benign skin lesions even for experienced It is even more difficult for primary care physicians a

nd general practitioners The early diagnosis of skin cancer is important for the

therapeutic procedure and reducing mortality rates. Most remarkable features have been surveyed in this

paper Cost of a simple CDSS for skin assessment is low Standardization of all steps in the CDSS procedure fr

om the image acquisition until the feature extraction and the classification stages is considered essential

Q&AQ&A