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Novel automated vessel pattern characterization of larynx contact endoscopic video images.

Nazila EsmaeiliAlfredo IllanesAxel BoeseNikolaos DavarisChristoph ArensMichael Friebe
Published in: International journal of computer assisted radiology and surgery (2019)
These promising results show that the proposed method could solve the problem of subjectivity in interpretation of vascular patterns and also support the clinicians in the early detection of benign, pre-malignant and malignant lesions.
Keyphrases
  • deep learning
  • machine learning
  • ultrasound guided
  • convolutional neural network
  • palliative care
  • high throughput
  • endoscopic submucosal dissection