Date Thesis Awarded
Honors Thesis -- Access Restricted On-Campus Only
Bachelors of Science (BS)
This thesis puts forward a new Convolutional Neural Network based on the U-Net Architecture, called glottisnet to identify the glottis region in the throat. Success was had in building the network, and it is very adept at recognizing the glottis in intubation manikins. Additionally, a novel approach for triggering automatic recording of endotracheal intubation videos is developed, using a facial recognition neural network. Code for the project can be found at https://github.com/c4r5son/britescope and https://github.com/c4r5son/glottisnet.
Stillman, Carson, "Development of a Video Laryngoscope with AI Assisted Epiglottis Bounding and Automatic Recording" (2022). Undergraduate Honors Theses. William & Mary. Paper 1851.
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