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Exploring the Role of Convolutional Neural Networks (CNN) in Dental Radiography Segmentation: A Comprehensive Systematic Literature Review [PDF]
arXivIn the field of dentistry, there is a growing demand for increased precision in diagnostic tools, with a specific focus on advanced imaging techniques such as computed tomography, cone beam computed tomography, magnetic resonance imaging, ultrasound, and traditional intra-oral periapical X-rays.
arxiv
, 1992 Spectrum was a newsletter for students, faculty, staff and alumni of the Henry M.
Boffa, Joseph +4 more
core
Segmentation of Mental Foramen in Orthopantomographs: A Deep Learning Approach [PDF]
arXivPrecise identification and detection of the Mental Foramen are crucial in dentistry, impacting procedures such as impacted tooth removal, cyst surgeries, and implants. Accurately identifying this anatomical feature facilitates post-surgery issues and improves patient outcomes. Moreover, this study aims to accelerate dental procedures, elevating patient
arxiv
PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray [PDF]
arXivReconstructing the 3D anatomical structures of the oral cavity, which originally reside in the cone-beam CT (CBCT), from a single 2D Panoramic X-ray(PX) remains a critical yet challenging task, as it can effectively reduce radiation risks and treatment costs during the diagnostic in digital dentistry.
arxiv