Concepedia

Second mesiobuccal canal segmentation with YOLOv5 architecture using cone beam computed tomography images

Şuayip Burak Duman, Duygu Çelik Özen, İbrahim Şevki Bayrakdar, Oğuzhan Baydar, Elham S. Abu Alhaija, Dilek Helvacıoğlu-Yiğit, Özer Çelik, Rohan Jagtap, Roberta Pileggi, Kaan Orhan

Odontology · 2023 · 35 citations · 32 references

Concepts

DentistryMaxillofacial RadiologyOral RadiologyDental RadiologyDiagnostic ImagingDiagnostic RadiologyAnatomical Landmark IdentificationComputed TomographyCone Beam Computed Tomography InterpretationRoot Canal AnatomyRoot Canal Morphology AssessmentRoot Canal ObturationAnatomical Canal Lumen SegmentationCone Beam Computed Tomography AnatomyCone-beam Computed Tomography Morphology AnalysisRoot Canal Morphology AnalysisThree-dimensional Root Canal AnatomyThree-dimensional Root Canal Imaging

References

32

The potential for artificial intelligence in healthcare

Thomas H. Davenport, Ravi Kalakota · Future Healthcare Journal · 2019 · 3.6K citations · Full text

Computing, Computer Science, Health Informatics +12

You Only Look Once: Unified, Real-Time Object Detection

Joseph Redmon, Santosh Divvala, Ross Girshick et al. · 2016 · 3.3K citations · Full text

Computing, Computer Science, Computer Vision +11

PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment

Kaixin Wang, Jun Hao Liew, Yingtian Zou et al. · 2019 · 1.4K citations

Computing, Computer Science, Computer Vision +11

Comparing YOLOv3, YOLOv4 and YOLOv5 for Autonomous Landing Spot Detection in Faulty UAVs

Sensors · 2022 · 373 citations · Full text

Computing, Aerospace Engineering, Computer Science +15

Evaluation of artificial intelligence for detecting periapical pathosis on cone‐beam computed tomography scans

Kaan Orhan, İbrahim Şevki Bayrakdar, Matvey Ezhov et al. · International Endodontic Journal · 2020 · 323 citations

Dentistry, Oral Pathology, Oral Radiology +17