Major
Computer Engineering
Anticipated Graduation Year
2021
Access Type
Open Access
Abstract
The Computer Engineering Capstone Design Project (2020-2021) was to implement an automated kidney segmentation system for SonoVol’s three-dimensional (3D) ultrasound analysis software, SonoEQ. SonoVol’s current kidney segmentation system is manual and user-driven which leads to human error, fatigue, and an overall waste of money, resources, and time. Manual image segmentation results in lower accuracies and less precise results. A new automated segmentation system will allow SonoVol to produce segmentations at higher rates.
Faculty Mentors & Instructors
Jason Streeter, PhD Engineering Science Department
Supported By
SonoVol Inc.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Automated Kidney Segmentation of Murine-Based Volumetric Ultrasound with a U-Net Based Neural Network
The Computer Engineering Capstone Design Project (2020-2021) was to implement an automated kidney segmentation system for SonoVol’s three-dimensional (3D) ultrasound analysis software, SonoEQ. SonoVol’s current kidney segmentation system is manual and user-driven which leads to human error, fatigue, and an overall waste of money, resources, and time. Manual image segmentation results in lower accuracies and less precise results. A new automated segmentation system will allow SonoVol to produce segmentations at higher rates.