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Full-Text Articles in Ophthalmology
Sans-Cnn: An Automated Machine Learning Technique For Spaceflight Associated Neuro-Ocular Syndrome With Astronaut Imaging Data, Sharif Amit Kamran, Khondker Fariha Hossain, Joshua Ong, Nasif Zaman, Ethan Waisberg, Phani Paladugu, Andrew Lee, Alireza Tavakkoli
Sans-Cnn: An Automated Machine Learning Technique For Spaceflight Associated Neuro-Ocular Syndrome With Astronaut Imaging Data, Sharif Amit Kamran, Khondker Fariha Hossain, Joshua Ong, Nasif Zaman, Ethan Waisberg, Phani Paladugu, Andrew Lee, Alireza Tavakkoli
SKMC Student Presentations and Publications
Spaceflight associated neuro-ocular syndrome (SANS) is one of the largest physiologic barriers to spaceflight and requires evaluation and mitigation for future planetary missions. As the spaceflight environment is a clinically limited environment, the purpose of this research is to provide automated, early detection and prognosis of SANS with a machine learning model trained and validated on astronaut SANS optical coherence tomography (OCT) images. In this study, we present a lightweight convolutional neural network (CNN) incorporating an EfficientNet encoder for detecting SANS from OCT images titled "SANS-CNN." We used 6303 OCT B-scan images for training/validation (80%/20% split) and 945 for testing …