Machine Learning of Endoscopy Images to Identify, Classify, and Segment Sinonasal Masses.

Abstract

Authors

• Lirit Levi
  Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.
• Kenan Ye
  Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.
• Maxime Fieux
  Université de Lyon, Université Lyon 1, 69003, Lyon, France. maxime.fieux@chu-lyon.fr.
• Axel Renteria
  Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.
• Steven Lin
  Stanford University School of Medicine.
• Lei Xing
  Department of Radiation Oncology, Stanford University, CA, USA.
• Noel F Ayoub
  Division of Rhinology and Skull Base Surgery, Department of Otolaryngology--Head & Neck Surgery, Mass Eye and Ear/Harvard Medical School, Boston, MA.
• Zara M Patel
  Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, CA, USA.
• Jayakar V Nayak
  Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA.
• Peter H Hwang
  Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.
• Michael T Chang
  Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, CA, USA.

Keywords

External Resources