Thrombus Segmentation in Ultrasound Deep Vein Thrombosis (DVT) Images using VGG16 and UNet based on Denoising Filters-Reference-Cited by-同舟云学术

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Thrombus Segmentation in Ultrasound Deep Vein Thrombosis (DVT) Images using VGG16 and UNet based on Denoising Filters

Published:2023-11-09 Issue: Volume: Page:129-134
ISSN:
Container-title:2023 IEEE International Biomedical Instrumentation and Technology Conference (IBITeC)
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Author:

Ramadhani Ahmad¹,Purnama I Ketut Eddy²,Yuniarno Eko Mulyanto²,Nugroho Johanes³

Affiliation:

1. Institut Teknologi Sepuluh Nopember,Department of Electrical Engineering,Surabaya,Indonesia

2. Institut Teknologi Sepuluh Nopember,Department of Electrical Engineering, Department of Computer Engineering,Surabaya,Indonesia

3. Airlangga University,Department of Cardiology,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389806/10390905/10390954.pdf?arnumber=10390954

Reference18 articles.

1. 3D Reconstruction of Veins in Ultrasound Image Based On U-Nets;Kusuma,2022

2. Rekonstruksi tiga dimensi freehand citra ultrasound b-mode lumen pembuluh darah arteri karotis menggunakan template matching berbasis fitur elips [freehand three-dimensional reconstruction of b-mode ultrasound image lumen of carotid artery blood vessels using elliptical feature-based matching templates];Sunarya,2020

3. Fully Automated Thrombus Segmentation on CT Images of Patients with Acute Ischemic Stroke

4. Fully Automated Segmentation of Lower Extremity Deep Vein Thrombosis Using Convolutional Neural Network

5. Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis

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