Multi-class segmentation performances of Mask R-CNN algorithms on a test dataset.

Multi-class segmentation performances of Mask R-CNN algorithms on a test dataset.

<p>Multi-class segmentation performances of Mask R-CNN algorithms on a test dataset.</p>

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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
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