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Can I read 466 Convolutional Neural Networks and Machine Learning in the Identification of Ultrasonographic Features of Ovarian Morphology on EtoBox?
466 Convolutional Neural Networks and Machine Learning in the Identification of Ultrasonographic Features of Ovarian Morphology by Jeffrey Pea; Matthew Brendel; Jean Lee; Iman Hajirasouliha; Steven D. Spandorfer; Marla E. Lujan is a Medicine article available to read on EtoBox.
What is 466 Convolutional Neural Networks and Machine Learning in the Identification of Ultrasonographic Features of Ovarian Morphology about?
OBJECTIVES/GOALS: To develop a two-staged convolutional neural network to identify the ovary and antral follicles within ovarian ultrasound images and determine its reliability and feasibility compared to conventional techniques in 2D and 3D ultrasonography image analysis. METHODS/STUDY POPULATION: De-identified and archived ultrasonographic images of women across the reproductive spectrum (N=500) will be used in the study. These ultrasound images will be labeled by experienced raters to train a two-staged convolutional neural network (CU-Net). CU-Net will first separate the entire ovary from the background and subsequently identify all antral follicles within the ovary. Following training, the CU-Net will evaluate a second set of independent images (N=100) to determine performance accuracy. Three specialized raters will establish the reliability and feasibility of CU-Net compared to conventional 2D and 3D ovarian ultrasound image analysis methods. RESULTS/ANTICIPATED RESULTS: The labeled training dataset of ovarian ultrasound images is expected to successfully train the CU-Net and allow for accurate identification of the ovary and the total number of antral follicles in the second
Who reads 466 Convolutional Neural Networks and Machine Learning in the Identification of Ultrasonographic Features of Ovarian Morphology?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Jeffrey Pea; Matthew Brendel; Jean Lee; Iman Hajirasouliha; Steven D. Spandorfer; Marla E. Lujan
- Publisher
- Cambridge University Press (CUP)
- Published
- 2022
- Language
- EN
- Field
- Medicine (Health Sciences)