scholar.google.com › citations
Mar 8, 2024 · This work demonstrates that real-time POCUS deep learning image enhancement is feasible using TPUs.
Abstract—Handheld ultrasound devices are becoming more prevalent in point-of-care ultrasound workflows. However, these.
It is demonstrated that real-time POCUS deep learning image enhancement is feasible using TPUs and future ultrasound device manufacturers can consider ...
Using TPU hardware, we are able to achieve a 7.5x - 10x runtime increase compared to smartphone CPU. This enables real-time processing at 45 FPS for a 736x160 ...
This review investigates the state-of-the-art progress of image enhancement using deep learning suitable for POCUS applications.
Missing: TPU | Show results with:TPU
The results show the feasibility of Machine Learning accelerated SBCs for optic disc and cup segmentation obtaining times below 25 ms per image using Edge TPUs.
Missing: Care | Show results with:Care
Sep 9, 2024 · Deep Learning (DL) drives academics to create models for cancer diagnosis using medical image processing because of its innate ability to ...
This article provides an overview of use of deep, data-driven learning strategies in ultrasound systems, from the front-end to advanced applications.
Image post-processing is used in clinical-grade ultrasound scanners to improve image quality (e.g., reduce speckle noise and enhance contrast).
Aug 1, 2024 · Create and test a “do-it-yourself” (DIY) deep learning algorithm to classify ultrasound images to enhance the quality assurance workflow for ...
Missing: TPU | Show results with:TPU