Classifying Cyst and Tumor Lesion Using Support Vector Machine Based on Dental Panoramic Images Texture Features

• Main Authors: Ingrid Nurtanio, -, Eha Renwi Astuti, -, I Ketut Eddy Purnama, -, Mochamad Hariadi, -, Mauridhi Hery Purnomo, -
• Format: Article PeerReviewed
• Language: English; English; Indonesian; English
• Published: International Association of Engineers 2013
• Subjects: R Medicine; RK Dentistry
• Online Access: https://repository.unair.ac.id/118053/1/4.%20Classifiying%20Cyst%20and%20Tumor%20lesion%20using%20Support%20Vector%20Machine%20Based%20on%20Dental%20Panoramic%20Images%20Texture%20Features..pdf; https://repository.unair.ac.id/118053/7/4.%20Classifying%20Cyst%20and%20Tumor%20Lesion%20Using%20Support%20Vector%20Machine%20Based%20on%20Dental%20Panoramic%20Images%20Texture%20Features_2.pdf; https://repository.unair.ac.id/118053/3/4.%20Classifiying%20Cyst%20and%20Tumor%20lesion%20using%20Support%20Vector%20Machine%20Based%20on%20Dental%20Panoramic%20Images%20Texture%20Features.pdf; https://repository.unair.ac.id/118053/9/3..%20Classifiying%20Cyst%20and%20Tumor%20lesion.pdf; https://repository.unair.ac.id/118053/

Dental radiographs are essential in diagnosing the pathology of the jaw. However, similar radiographic appearance of jaw lesions causes difficulties in differentiating cyst from tumor. Therefore, we conducted a development of computer-aided classification system for cyst and tumor lesions in denta...