Optimal Training Positive Sample Size Determination for Deep Learning with a Validation on CBCT Image Caries Recognition

Optimal Training Positive Sample Size Determination for Deep Learning with a Validation on CBCT Image Caries Recognition

<b>Objectives</b>: During deep learning model training, it is essential to consider the balance among the effects of sample size, actual resources, and time constraints. Single-arm objective performance criteria (OPC) was proposed to determine the optimal positive sample size for trainin...

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Bibliographic Details
Main Authors: Yanlin Wang, Gang Li, Xinyue Zhang, Yue Wang, Zhenhao Zhang, Jupeng Li, Junqi Ma, Linghang Wang
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Diagnostics
Subjects:
deep learning
training set
oral radiology
CBCT
dental caries
Online Access:https://www.mdpi.com/2075-4418/14/18/2080
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