Application of machine learning in the preoperative radiomic diagnosis of ameloblastoma and odontogenic keratocyst based on cone-beam CT.
Yang SongSirui MaBing MaoKun XuYuan LiuJingdong MaJun JiaPublished in: Dento maxillo facial radiology (2024)
ML and radiomic approaches with high-resolution CBCT images provide new insights into the differential diagnosis of AME and OKC.
Keyphrases
- cone beam
- image quality
- machine learning
- high resolution
- deep learning
- computed tomography
- dual energy
- convolutional neural network
- patients undergoing
- contrast enhanced
- artificial intelligence
- optical coherence tomography
- mass spectrometry
- cone beam computed tomography
- big data
- positron emission tomography
- magnetic resonance imaging
- tandem mass spectrometry
- high speed
- pet ct