OPG-SHAP: A Dental AI Tool for Explaining Learned Orthopantomogram Image Recognition

Natthanich Hirunchavarod, Lapatrada Dangsungnoen, Kwansawan Thongprasant, Pornnakanok Phuphatham, Narawit Prathansap, Natnicha Sributsayakarn, Suchaya Pornprasertsuk-Damrongsri, Varangkanar Jirarattanasopha, Thanapong Intharah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose OPG-SHAP, a tool for extracting insight of the trained deep learning model for an Orthopantomograms (OPGs). The tool allows user to understand the areas that influence the model's predictions through SHAP (SHapley Additive exPlanations) interpretability. The tool automatically identify the regions within the OPG image that influence the model's decision-making through YOLO-based object detection model that trained to detect over 20 classes of dental region in OPGs with an AverageIoU = 0.795, mAP = 0.989, Precision = 0.986, Recall = 0.987, and F1 score = 0.986. When a user inputs an OPG image and model into the OPG-SHAP tool, the output highlights the positions the model considers important for its decision, indicated by positive and negative SHAP values.

Original languageEnglish
Title of host publication2024 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350379051
DOIs
Publication statusPublished - 2024
Event2024 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2024 - Okinawa, Japan
Duration: 2 Jul 20245 Jul 2024

Publication series

Name2024 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2024

Conference

Conference2024 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2024
Country/TerritoryJapan
CityOkinawa
Period2/07/245/07/24

Keywords

  • Dental Tool
  • Explainable AI
  • Orthopantomograms
  • Panoramic X-ray Image
  • SHAP

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