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Faster R-CNN BASED CEPHALOMETRIC LANDMARK DETECTION

 

About

Hi, my project is based on identification of cephalometric landmarks on cephalograms using Artificial Intelligence. We implemented Faster R-CNN network consisting of the ResNet50 with FPN as a backbone network. The detection was based on  accuracy rate under the accepted accuracy range of 2 mm and the succession rate.

 

Documentations & Presentations

TERM 1

TERM 2

TERM 3

TERM 4

 

Team

Liyakhanya Candy Tabata

Student

Dr C. Nyirenda

Supervisor

 

Contact Me

University of the Western Cape

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