Generalizability of deep learning models for dental image analysis
Abstract We assessed the generalizability of deep learning models and how to improve it. Our exemplary use-case was the detection of apical lesions on panoramic radiographs. We employed two datasets of panoramic radiographs from two centers, one in Germany (Charité, Berlin, n = 650) and one in India...
Main Authors: | Joachim Krois, Anselmo Garcia Cantu, Akhilanand Chaurasia, Ranjitkumar Patil, Prabhat Kumar Chaudhari, Robert Gaudin, Sascha Gehrung, Falk Schwendicke |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-03-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-85454-5 |
Similar Items
-
Classification of Dental Radiographs Using Deep Learning
by: Jose E. Cejudo, et al.
Published: (2021-04-01) -
Radiomorphometeric Evaluation of Clivus in Indian Paediatric Population Visiting a Tertiary Dental Hospital- A Cone Beam Computed Tomography Study
by: Akhilanand Chaurasia, et al.
Published: (2018-02-01) -
Generalizability of Deep Learning Models for Caries Detection in Near-Infrared Light Transillumination Images
by: Agnes Holtkamp, et al.
Published: (2021-03-01) -
Impact of Image Context on Deep Learning for Classification of Teeth on Radiographs
by: Joachim Krois, et al.
Published: (2021-04-01) -
Barriers and Enablers for Artificial Intelligence in Dental Diagnostics: A Qualitative Study
by: Anne Müller, et al.
Published: (2021-04-01)