CT evaluation of extranodal extension of cervical lymph node metastases in patients with oral squamous cell carcinoma using deep learning classification.
Yoshiko ArijiYoshihiko SugitaToru NagaoAtsushi NakayamaMotoki FukudaYoshitaka KiseMichihito NozawaMasako NishiyamaAkitoshi KatumataEiichiro ArijiPublished in: Oral radiology (2019)
The deep learning diagnostic performance in extranodal extension was significantly higher than that of radiologists. This method is expected to improve diagnostic accuracy by further study with increasing the number of patients.
Keyphrases
- deep learning
- lymph node
- artificial intelligence
- end stage renal disease
- machine learning
- convolutional neural network
- chronic kidney disease
- newly diagnosed
- ejection fraction
- computed tomography
- prognostic factors
- image quality
- magnetic resonance imaging
- patient reported outcomes
- radiation therapy
- magnetic resonance
- pet ct