The performance of clinicians (GPs vs endodontists) with and without the help of Mask R-CNN for endodontic treatment outcome prediction from preoperative radiographic images on an independent dataset.

The performance of clinicians (GPs vs endodontists) with and without the help of Mask R-CNN for endodontic treatment outcome prediction from preoperative radiographic images on an independent dataset.

<p>The performance of clinicians (GPs vs endodontists) with and without the help of Mask R-CNN for endodontic treatment outcome prediction from preoperative radiographic images on an independent dataset.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Dennis Dennis (20490126) (author)
مؤلفون آخرون:	Siriwan Suebnukarn (13360640) (author), Sothana Vicharueang (13360649) (author), Wasit Limprasert (13360637) (author)
منشور في:	2024
الموضوعات:	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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