Demographic and clinical data.

<div><p>This study aimed to evaluate the performance of a deep learning-based segmentation model for predicting outcomes of non-surgical endodontic treatment. Preoperative and 3-year postoperative periapical radiographic images of each tooth from routine root canal treatments performed b...

Full description

Saved in:

Bibliographic Details
Main Author:	Dennis Dennis (20490126) (author)
Other Authors:	Siriwan Suebnukarn (13360640) (author), Sothana Vicharueang (13360649) (author), Wasit Limprasert (13360637) (author)
Published:	2024
Subjects:	Medicine Science Policy Biological Sciences not elsewhere classified thammasat university hospital surgical endodontic treatment independent 120 images 90 &# 8211 89 &# 8211 85 &# 8211 81 &# 8211 72 &# 8211 predict class label periapical radiographic images based segmentation model 94 ), 0 85 ), 0 preoperative radiographic images mean average precision endodontists significantly improved 88 &# 8211 83 &# 8211 95 ), respectively cnn prediction model prediction metrics periapical radiographs model training ci 0 predict non year follow xlink "> wise segment test set study aimed recall curve predicting outcomes obtained retrospectively mask region mask r general practitioners deep learning 1200 teeth
Tags:	Add Tag No Tags, Be the first to tag this record!

Demographic and clinical data.

Similar Items