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Conference 12033 > Paper 12033-46
Paper 12033-46

A deep network ensemble for segmentation of cervical spinal cord and neural foramina

In person: 23 February 2022 • 1:40 PM - 2:00 PM PST

Abstract

We sought to test the accuracy of a state-of-the-art machine learning algorithm for segmenting cervical spinal cord and neural foramina against expert clinician raters. A deep U-net ensemble was trained on 50 MRI-series, and then evaluated qualitatively and quantitatively using Sorenson-Dice coefficients, Hausdorff coefficients, and average surface distances on a separate testing set of 50 MRI-series. We conclude that automated deep learning methods segment cervical cords more accurately than cervical neural foramina, and that further technical work is necessary to improve automated segmentation of cervical anatomy.

Presenter

Univ. of California, Los Angeles (United States)
David Zarrin is a medical student and aspiring neurosurgeon at the David Geffen School of Medicine. After completing his undergraduate studies in mechanical engineering at the University of California, Berkeley, David moved east and earned his graduate degree in Biomedical Engineering at the Johns Hopkins University. He has since returned to California to complete medical school at UCLA. David has conducted over four years clinical and computational neurosurgery research. He has a strong interest in medical innovation, and, as a future physician and researcher, David intends to use his technical background to develop innovative medical technologies centered around his clinical practice.
Presenter/Author
Univ. of California, Los Angeles (United States)
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Univ. of California, Los Angeles (United States)
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Univ. of California, Los Angeles (United States)
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Univ. of California, Los Angeles (United States)
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Univ. of California, Los Angeles (United States)
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Univ. of California, Los Angeles (United States)
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Univ. of California, Los Angeles (United States)
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Univ. of California, Los Angeles (United States)
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Univ. of California, Los Angeles (United States)
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Luke Macyszyn
Univ. of California, Los Angeles (United States)