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May 31, 2023 · Ultrasonic tomography imaging enhancement approach based on deep convolutional neural networks. Regular Paper; Published: 31 May 2023. Volume ...
May 31, 2023 · Ultrasonic tomography imaging enhancement approach based on deep convolutional neural networks. Authors: Azamatjon Kakhramon ugli Malikov.
This work proposes an approach which relies on a convolutional neural network trained exclusively on a simulated dataset for the purpose of improving images ...
Missing: tomography | Show results with:tomography
Recently, a number of methods based on deep learning have been developed to improve the quality of ultrasound images. For instance, Perdios et al.
Here we propose a deep learning (DL) based approach to improve primarily the lateral resolution of out-of-focus AR-PAM images, with a corresponding increase ...
Apr 15, 2022 · Abstract. In this paper, a rapid guided wave imaging method based on convolutional neural network (CNN) is proposed to quantitatively evaluate ...
The results demonstrated that the trained network was capable of enhancing the image quality. The proposed framework provides an efficient approach for the ...
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This study aimed to evaluate the performance of the deep convolutional neural network (DCNN) to discriminate between benign, borderline, and malignant ...
Ultrasonic tomography imaging enhancement approach based on deep convolutional neural networks ... Image Detection Based on Convolutional Neural Network.
Feb 7, 2022 · Ultrasonic tomography imaging enhancement approach based on deep convolutional neural networks. 2023, Journal of Visualization. View all ...