Research map: Cross-Vendor Robustness of a Hybrid Deep Learning Framework for Four-Stage Periodontitis Classification on Panoramic Radiographs

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  1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation · Vijay Badrinarayanan · 2017 · 20035 citations · Cited by this paper
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  17. A New Biometrical Procedure for Testing the Equality of Measurements from Two Different Analytical Methods. Application of linear regression procedures for method comparison studies in Clinical Chemistry, Part I · H. Passing · 1983 · 1527 citations · Cited by this paper
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  26. Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitis · HyukJoon Chang · 2020 · 294 citations · Cited by this paper
  27. Percent Agreement, Pearson's Correlation, and Kappa as Measures of Inter-examiner Reliability · Ronald J. Hunt · 1986 · 279 citations · Cited by this paper
  28. Deep Learning–based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study · Qian Tao · 2018 · 212 citations · Cited by this paper
  29. Comparison between panoramic and intra‐oral radiographs for the assessment of alveolar bone levels in a periodontal maintenance population · Rigmor E. Persson · 2003 · 149 citations · Cited by this paper
  30. A two-stage deep learning architecture for radiographic staging of periodontal bone loss · Linhong Jiang · 2022 · 127 citations · Cited by this paper
  31. Radiographic quantification of alveolar bone level changes · Jasim M. Albandar · 1986 · 85 citations · Cited by this paper
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  33. Detection of periodontal bone loss and periodontitis from 2D dental radiographs via machine learning and deep learning: systematic review employing APPRAISE-AI and meta-analysis · Yahia H. Khubrani · 2024 · 54 citations · Cited by this paper
  34. Determination of the stage and grade of periodontitis according to the current classification of periodontal and peri-implant diseases and conditions (2018) using machine learning algorithms · Kübra Ertaş · 2022 · 50 citations · Cited by this paper
  35. Deep Learning Model for Classifying Periodontitis Stages on Dental Panoramic Radiography · Ho Sun Shon · 2022 · 43 citations · Cited by this paper
  36. A Multi-center Dental Panoramic Radiography Image Dataset for Impacted Teeth, Periodontitis, and Dental Caries: Benchmarking Segmentation and Classification Tasks · Xiang Li · 2024 · 13 citations · Cited by this paper
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  38. A cascading learning method with SegFormer for radiographic measurement of periodontal bone loss · Hanwen Yu · 2024 · 11 citations · Cited by this paper
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