DMAF-Net: Deformable multi-scale adaptive fusion network for dental structure detection with panoramic radiographs
CONCLUSIONS: The proposed DMAF-Net model improves existing deep learning models and achieves automatic detection of tooth structure problems in panoramic radiographs. This new method has great potential for new computer-aided diagnostic, teaching and clinical applications in the future.PMID:38518093 | DOI:10.1093/dmfr/twae014 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - March 22, 2024 Category: Radiology Authors: Wei Li Yuanjun Wang Yu Liu Source Type: research
Differentiation of salivary gland tumors using diffusion-weighted image-based virtual MR elastography: A pilot study
CONCLUSION: Elasticity values based on DWI-based virtual MRE of benign salivary gland tumors, Warthin tumors, and malignant salivary gland tumors were significantly different. The elasticity of Warthin tumors was the highest and that of benign tumors was the lowest. The elasticity from DWI-based virtual MRE may aid in the differential diagnosis of salivary gland tumors.PMID:38502962 | DOI:10.1093/dmfr/twae010 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - March 19, 2024 Category: Radiology Authors: Hye Na Jung Inseon Ryoo Sangil Suh Byungjun Kim Sung-Hye You Eunju Kim Source Type: research
Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images
CONCLUSIONS: Models based on nnU-Net v2 demonstrate the ability to segment the MS autonomously and accurately in CBCT images.PMID:38502963 | DOI:10.1093/dmfr/twae012 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - March 19, 2024 Category: Radiology Authors: Ibrahim Sevki Bayrakdar Nermin Sameh Elfayome Reham Ashraf Hussien Ibrahim Tevfik Gulsen Alican Kuran Ihsan Gunes Alwaleed Al-Badr Ozer Celik Kaan Orhan Source Type: research
Differentiation of salivary gland tumors using diffusion-weighted image-based virtual MR elastography: A pilot study
CONCLUSION: Elasticity values based on DWI-based virtual MRE of benign salivary gland tumors, Warthin tumors, and malignant salivary gland tumors were significantly different. The elasticity of Warthin tumors was the highest and that of benign tumors was the lowest. The elasticity from DWI-based virtual MRE may aid in the differential diagnosis of salivary gland tumors.PMID:38502962 | DOI:10.1093/dmfr/twae010 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - March 19, 2024 Category: Radiology Authors: Hye Na Jung Inseon Ryoo Sangil Suh Byungjun Kim Sung-Hye You Eunju Kim Source Type: research
Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images
CONCLUSIONS: Models based on nnU-Net v2 demonstrate the ability to segment the MS autonomously and accurately in CBCT images.PMID:38502963 | DOI:10.1093/dmfr/twae012 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - March 19, 2024 Category: Radiology Authors: Ibrahim Sevki Bayrakdar Nermin Sameh Elfayome Reham Ashraf Hussien Ibrahim Tevfik Gulsen Alican Kuran Ihsan Gunes Alwaleed Al-Badr Ozer Celik Kaan Orhan Source Type: research
Differentiation of salivary gland tumors using diffusion-weighted image-based virtual MR elastography: A pilot study
CONCLUSION: Elasticity values based on DWI-based virtual MRE of benign salivary gland tumors, Warthin tumors, and malignant salivary gland tumors were significantly different. The elasticity of Warthin tumors was the highest and that of benign tumors was the lowest. The elasticity from DWI-based virtual MRE may aid in the differential diagnosis of salivary gland tumors.PMID:38502962 | DOI:10.1093/dmfr/twae010 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - March 19, 2024 Category: Radiology Authors: Hye Na Jung Inseon Ryoo Sangil Suh Byungjun Kim Sung-Hye You Eunju Kim Source Type: research
Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images
CONCLUSIONS: Models based on nnU-Net v2 demonstrate the ability to segment the MS autonomously and accurately in CBCT images.PMID:38502963 | DOI:10.1093/dmfr/twae012 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - March 19, 2024 Category: Radiology Authors: Ibrahim Sevki Bayrakdar Nermin Sameh Elfayome Reham Ashraf Hussien Ibrahim Tevfik Gulsen Alican Kuran Ihsan Gunes Alwaleed Al-Badr Ozer Celik Kaan Orhan Source Type: research
Improving Resolution of Panoramic Radiographs: Super Resolution Concept
Dentomaxillofac Radiol. 2024 Mar 14:twae009. doi: 10.1093/dmfr/twae009. Online ahead of print.NO ABSTRACTPMID:38483289 | DOI:10.1093/dmfr/twae009 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - March 14, 2024 Category: Radiology Authors: Mahmut Emin Çelik Mahsa Mikaeili Berrin Çelik Source Type: research
