CorneaNet : fast segmentation of cornea OCT scans of healthy and keratoconic eyes using deep learning

• Main Authors: Santos, Valentin Aranha dos, Schmetterer, Leopold, Stegmann, Hannes, Pfister, Martin, Messner, Alina, Schmidinger, Gerald, Garhofer, Gerhard, Werkmeister, René M.
• Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
• Format: Article
• Language: English
• Published: 2019
• Subjects: Deep Learning Algorithms; DRNTU::Science::Medicine; Optical Coherence Tomography
• Online Access: https://hdl.handle.net/10356/105553; http://hdl.handle.net/10220/47814
• Institution: Nanyang Technological University

Deep learning has dramatically improved object recognition, speech recognition, medical image analysis and many other fields. Optical coherence tomography (OCT) has become a standard of care imaging modality for ophthalmology. We asked whether deep learning could be used to segment cornea OCT images...