Summary
Deep learning algorithms are applied on optical coherence tomography (OCT) with cellular resolution for skin cancer detection. Results on animal model show >90% accuracy for the classification of normal, dysplasia, and squamous cell carcinoma. An OCT engineering model has been developed by the Apollo Medical Optics. Clinical collaborations on real-time diagnosis of skin or cornea diseases/cancers are welcome.
Applications
Point of care testing on the following clinics:
Dermatology: skin cancer detection, volumetric nuclear cytoplasmic ratio analysis
Ophthalmology: corneal subbasal nerve plexus mapping and feature extraction
Advantages
Non-invasiveness, real time, and cellular resolution are achieved for in-vivo biomedical imaging
Related Links
National Taiwan University:
http://www.ee.ntu.edu.tw/bio1?teacher_id=941019&p=3
Apollo Medical Optics:
http://www.apollomedicaloptics.com/index.php
Keywords
Cellular-resolution optical coherence tomography, deep learning algorithm, skin cancers, cornea nerve imaging
◎ PI
PI Sheng-Lung Huang
Distinguished Professor, Graduate Institute of Photonics and Optoelectronics, NTU
Co-PI Homer H. Chen
Distinguished Professor, Department of Electrical Engineering, NTU
Co-PI Chia-Tung Shun
Professor, Department of Forensic Medicine, NTU
Co-PI Hsien-Li Kao
Associate Professor, Department of Internal Medicine, College of Medicine, NTU
Co-PI Jeng-Wei Tjiu
Clinical Assistant Professor, Department of Dermatology, College of Medicine, NTU
Co-PI Yi-Hua Liao
Associate Professor, Department of Dermatology, College of Medicine, NTU
Co-PI Jau-Yu Liau
Assistant Professor, Department of Pathology, College of Medicine, NTU
Co-PI Snow H. Tseng
Associate Professor, Graduate Institute of Photonics and Optoelectronics, NTU
Co-PI Fu-Liang Yang
Distinguished Research Fellow, Academia Sinica
Co-PI Yu-Hung Wu
Associate professor, Mackay Medical College
Co-PI Jen-Yu Wang
Attending physician, Department of Dermatology, Mackay Memorial Hospital
Co-PI Yen-Jen Wang
Attending physician, Department of Dermatology, Mackay Memorial Hospital