Paper title: AUTOMATIC RECOGNITION OF DENTAL PATHOLOGIES AS PART OF A CLINICAL DECISION SUPPORT PLATFORM
Author(s): IULIANA MARIN, NICOLAE GOGA, ANDREI VASILATEANU, IONEL-BUJOREL PĂVĂLOIU,
Abstract: The current work is done within the context of Romanian National Program II (PNII) research project “Application for Using
Image Data Mining and 3D Modeling in Dental Screening” (AIMMS). The AIMMS project aims to design a program that can
detect anatomical information and possible pathological formations from a collection of digital imaging and communications in
medicine (DICOM) images. The main function of the AIMMS platform is to provide the user with the opportunity to use an
integrated dental support platform, using image processing techniques and 3D modeling. From the literature review, it can be
found that for the detection and classification of teeth and dental pathologies existing studies are in their infancy. Therefore, the
work reported in this article makes a scientific contribution in this field. In this article it is presented the relevant literature
review and algorithms that were created for detection of dental pathologies in the context of research project AIMMS.
Keywords: Dental scan, Automatic pathologies recognition, Digital imaging and communications in medicine (DICOM) Year: 2017 | Tome: 62 | Issue: 4 | Pp.: 436-441
Full text : PDF (293 KB) |