Automated classification of maxillofacial cysts in cone beam CT images using contourlet transformation and spherical harmonics
• Accurate detection of maxillofacial cysts is an essential step for diagnosis, monitoring and surgery planning.• Cystic lesion is segmented using symmetry analysis and active contours.• A combination of texture and shape features is utilized for classification.• A method based on orthogonal ization is proposed to improve the accuracy of Spherical Harmonics.
Source: Computer Methods and Programs in Biomedicine - Category: Bioinformatics Authors: Fatemeh Abdolali, Reza Aghaeizadeh Zoroofi, Yoshito Otake, Yoshinobu Sato Source Type: research
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