[HTML][HTML] Application of deep learning and feature selection technique on external root resorption identification on CBCT images
NH Reduwan, AA Abdul Aziz, R Mohd Razi… - BMC Oral Health, 2024 - Springer
Background Artificial intelligence has been proven to improve the identification of various
maxillofacial lesions. The aim of the current study is two-fold: to assess the performance of …
maxillofacial lesions. The aim of the current study is two-fold: to assess the performance of …
[HTML][HTML] Application of deep learning and feature selection technique on external root resorption identification on CBCT images
NH Reduwan, AA Abdul Aziz… - BMC Oral …, 2024 - bmcoralhealth.biomedcentral.com
Artificial intelligence has been proven to improve the identification of various maxillofacial
lesions. The aim of the current study is two-fold: to assess the performance of four deep …
lesions. The aim of the current study is two-fold: to assess the performance of four deep …
Application of Deep Learning and Feature Selection Technique on External Root Resorption Identification on CBCT Images
NH Reduwan, AA Aziz, RM Razi, ERMF Abdullah… - 2023 - researchsquare.com
Background: Artificial intelligence have been proven to improve the identification of various
maxillofacial lesions. The aim of the current study is two-fold, to assess the performance of …
maxillofacial lesions. The aim of the current study is two-fold, to assess the performance of …
[HTML][HTML] Application of deep learning and feature selection technique on external root resorption identification on CBCT images
NH Reduwan, AAA Aziz, RM Razi… - BMC Oral …, 2024 - ncbi.nlm.nih.gov
Background Artificial intelligence has been proven to improve the identification of various
maxillofacial lesions. The aim of the current study is two-fold: to assess the performance of …
maxillofacial lesions. The aim of the current study is two-fold: to assess the performance of …
Application of deep learning and feature selection technique on external root resorption identification on CBCT images
NH Reduwan, AAA Aziz, RM Razi… - BMC oral …, 2024 - pubmed.ncbi.nlm.nih.gov
Background Artificial intelligence has been proven to improve the identification of various
maxillofacial lesions. The aim of the current study is two-fold: to assess the performance of …
maxillofacial lesions. The aim of the current study is two-fold: to assess the performance of …
Application of deep learning and feature selection technique on external root resorption identification on CBCT images
N Reduwan, E Abdullah, M Gohain, N Ibrahim - BMC Oral Health, 2024 - europepmc.org
Background Artificial intelligence has been proven to improve the identification of various
maxillofacial lesions. The aim of the current study is two-fold: to assess the performance of …
maxillofacial lesions. The aim of the current study is two-fold: to assess the performance of …
[PDF][PDF] Application of deep learning and feature selection technique on external root resorption identification on CBCT images
NH Reduwan, AAA Aziz, RM Razi… - 2024 - bmcoralhealth.biomedcentral.com
Background Artificial intelligence has been proven to improve the identification of various
maxillofacial lesions. The aim of the current study is two-fold: to assess the performance of …
maxillofacial lesions. The aim of the current study is two-fold: to assess the performance of …
Application of deep learning and feature selection technique on external root resorption identification on CBCT images.
NH Reduwan, AA AA, E Abdullah, MN SM… - BMC Oral …, 2024 - europepmc.org
Background Artificial intelligence has been proven to improve the identification of various
maxillofacial lesions. The aim of the current study is two-fold: to assess the performance of …
maxillofacial lesions. The aim of the current study is two-fold: to assess the performance of …