Cargando…
Current Applications of Deep Learning and Radiomics on CT and CBCT for Maxillofacial Diseases
The increasing use of computed tomography (CT) and cone beam computed tomography (CBCT) in oral and maxillofacial imaging has driven the development of deep learning and radiomics applications to assist clinicians in early diagnosis, accurate prognosis prediction, and efficient treatment planning of...
Autores principales: | Hung, Kuo Feng, Ai, Qi Yong H., Wong, Lun M., Yeung, Andy Wai Kan, Li, Dion Tik Shun, Leung, Yiu Yan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818323/ https://www.ncbi.nlm.nih.gov/pubmed/36611402 http://dx.doi.org/10.3390/diagnostics13010110 |
Ejemplares similares
-
The Use of CBCT in Evaluating the Health and Pathology of the Maxillary Sinus
por: Yeung, Andy Wai Kan, et al.
Publicado: (2022) -
Application of Cone Beam Computed Tomography in Risk Assessment of Lower Third Molar Surgery
por: Leung, Yiu Yan, et al.
Publicado: (2023) -
Temporomandibular Disorders: Current Concepts and Controversies in Diagnosis and Management
por: Li, Dion Tik Shun, et al.
Publicado: (2021) -
Myogenous Temporomandibular Disorders: Diagnostic Concepts and Prospective Pilot Study on Extracorporeal Shockwave Therapy
por: Li, Dion Tik Shun, et al.
Publicado: (2022) -
Assessment of CT to CBCT contour mapping for radiomic feature analysis in prostate cancer
por: Schmidt, Ryder M., et al.
Publicado: (2021)