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

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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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.