Cargando…
Enhanced Tooth Region Detection Using Pretrained Deep Learning Models
The rapid development of artificial intelligence (AI) has led to the emergence of many new technologies in the healthcare industry. In dentistry, the patient’s panoramic radiographic or cone beam computed tomography (CBCT) images are used for implant placement planning to find the correct implant po...
Autores principales: | Al-Sarem, Mohammed, Al-Asali, Mohammed, Alqutaibi, Ahmed Yaseen, Saeed, Faisal |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692549/ https://www.ncbi.nlm.nih.gov/pubmed/36430133 http://dx.doi.org/10.3390/ijerph192215414 |
Ejemplares similares
-
An Aggregated Mutual Information Based Feature Selection with Machine Learning Methods for Enhancing IoT Botnet Attack Detection
por: Al-Sarem, Mohammed, et al.
Publicado: (2021) -
Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM)
por: Algarni, Mona, et al.
Publicado: (2022) -
A Pretraining-Retraining Strategy of Deep Learning Improves Cell-Specific Enhancer Predictions
por: Niu, Xiaohui, et al.
Publicado: (2020) -
An Empirical Analysis of an Optimized Pretrained Deep Learning Model for COVID-19 Diagnosis
por: Sangeetha, S. K. B., et al.
Publicado: (2022) -
An Adaptive Early Stopping Technique for DenseNet169-Based Knee Osteoarthritis Detection Model
por: Al-rimy, Bander Ali Saleh, et al.
Publicado: (2023)