Grad-CAM visualizations illustrate the model focus areas during classification for positive (A) (pulp involved) and negative (B) (pulp not involved) samples.

Grad-CAM visualizations illustrate the model focus areas during classification for positive (A) (pulp involved) and negative (B) (pulp not involved) samples.

<p>Grad-CAM visualizations illustrate the model focus areas during classification for positive (A) (pulp involved) and negative (B) (pulp not involved) samples.</p>

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Bibliographic Details
Main Author:	Aydin Sohrabi (21021133) (author)
Other Authors:	Nazila Ameli (12193214) (author), Masoud Mirimoghaddam (21021136) (author), Yuli Berlin-Broner (21021139) (author), Hollis Lai (8313165) (author), Maryam Amin (464825) (author)
Published:	2025
Subjects:	Medicine Biotechnology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified upper primary molars lower primary molars integrate heat maps improve informed consent classify 2 categories carious primary molars alberta dental clinic 900 children treated pulp management techniques promising cnn model model &# 8217 lower primary teeth cls model achieved diagnosing pulp involvement assessing pulp involvement include clinical variables evaluated using top data augmentation applied 5 accuracy metrics pulp involvement 482 teeth clinical diagnoses clinical charts clinical application test sets study developed study aimed significantly improved showing promise pediatric dentistry machine learning labeled based future research diagnostic methods despite advances deep learning classification layers bitewing radiographs based assessment
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