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Current advances in artificial intelligence in radiographic interpretation and reporting

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참고문헌 (6)

  1. Suomalainen A, "Dentomaxillofacial imaging with panoramic views and cone beam CT", Insights Imaging, 6, pp.1~16 (2015)
  2. Mao WY, "Comparison of radiographical characteristics and diagnostic accuracy of intraosseous jaw lesions on panoramic radiographs and CBCT", Dentomaxillofac Radiol, 50, pp.20200165~ (2021)
  3. López-Úbeda P, "Comparative evaluation of image-based vs. text-based vs. multimodal AI approaches for automatic breast density assessment in mammograms", Comput Methods Programs Biomed, 255, pp.108334~ (2024)
  4. Widyaningrum R, "Comparison of Multi-Label U-Net and Mask R-CNN for panoramic radiograph segmentation to detect periodontitis", Imaging Sci Dent, 52, pp.383~391 (2022)
  5. Chen H, "A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films", Sci Rep, 9, pp.3840~ (2019)
  6. Sacoransky E, "ChatGPT and assistive AI in structured radiology reporting: a systematic review", Curr Probl Diagn Radiol (2024)

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