overview of advanced computer vision systems for skin lesions characterization
DESCRIPTION
Overview of Advanced Computer Vision Systems for Skin Lesions Characterization. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 13, NO. 5, SEPTEMBER 2009 Ilias Maglogiannis , Member, IEEE , and Charalampos N. Doukas , Student Member, IEEE Presentor: 陳麒文. Outline. - PowerPoint PPT PresentationTRANSCRIPT
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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
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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
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Definition of Features for the Classification of Skin Lesions ABCD Rule pattern analysis Menzies method seven-point checklist; texture analysis
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ABCD rulesABCD rules
asymmetry border color differential structures
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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
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SKIN LESION CLASSIFICATION METHODS
Learning Phase statistical Neural networks support vector machine (SVM) adaptive wavelet-transform-based tree-structure cl
assification (ADWAT) Testing Phase
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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
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RESULTS FROM EXISTING SYSTEMS
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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
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Q&AQ&A