[HTML][HTML] The ultrasound use of simulators, current view, and perspectives: Requirements and technical aspects (WFUMB state of the art paper)
CF Dietrich, C Lucius, MB Nielsen… - Endoscopic …, 2023 - journals.lww.com
Simulation has been shown to improve clinical learning outcomes, speed up the learning
process and improve learner confidence, whilst initially taking pressure off busy clinical lists …
process and improve learner confidence, whilst initially taking pressure off busy clinical lists …
Deep learning in ultrasound elastography imaging: A review
It is known that changes in the mechanical properties of tissues are associated with the
onset and progression of certain diseases. Ultrasound elastography is a technique to …
onset and progression of certain diseases. Ultrasound elastography is a technique to …
Evaluating synthetic medical images using artificial intelligence with the GAN algorithm
In recent years, considerable work has been conducted on the development of synthetic
medical images, but there are no satisfactory methods for evaluating their medical suitability …
medical images, but there are no satisfactory methods for evaluating their medical suitability …
In silico simulation: a key enabling technology for next-generation intelligent surgical systems
To mitigate the challenges of operating through narrow incisions under image guidance,
there is a desire to develop intelligent systems that assist decision making and spatial …
there is a desire to develop intelligent systems that assist decision making and spatial …
Generative adversarial networks for DNA storage channel simulator
DNA data storage systems have rapidly developed with novel error-correcting techniques,
random access algorithms, and query systems. However, designing an algorithm for DNA …
random access algorithms, and query systems. However, designing an algorithm for DNA …
Segmentation of breast ultrasound images using densely connected deep convolutional neural network and attention gates
N Thirusangu, M Almekkawy - 2021 IEEE UFFC Latin America …, 2021 - ieeexplore.ieee.org
Ultrasound imagining modality is a popular complementary technique for diagnosing breast
cancer. A standardized reporting process called Breast imaging reporting and data system …
cancer. A standardized reporting process called Breast imaging reporting and data system …
An application of super-resolution generative adversary networks for quasi-static ultrasound strain elastography: A feasibility study
In this work, a super-resolution approach based on generative adversary network (GAN)
was used to interpolate (up-sample) ultrasound radio-frequency (RF) echo data along the …
was used to interpolate (up-sample) ultrasound radio-frequency (RF) echo data along the …
Ultrasound image classification using ACGAN with small training dataset
B-mode ultrasound imaging is a popular medical imaging technique. Like other image
processing tasks, deep learning has been used for analysis of B-mode ultrasound images in …
processing tasks, deep learning has been used for analysis of B-mode ultrasound images in …
Radiomics Harmonization in Ultrasound Images for Cervical Cancer Lymph Node Metastasis Prediction Using Cycle-GAN
Z Zhao, Y Qin, K Shao, Y Liu, Y Zhang… - … in Cancer Research …, 2024 - journals.sagepub.com
Background: Ultrasound (US) based radiomics is susceptible to variations in scanners,
sonographers. Objective: To retrospectively investigate the feasibility of an adapted cycle …
sonographers. Objective: To retrospectively investigate the feasibility of an adapted cycle …
WITHDRAWN: Advanced machine learning-based analytics on COVID-19 data using generative adversarial networks
A Harshavardhan, H Bhukya, AVK Prasad - 2020 - Elsevier
Withdrawal Notice WITHDRAWN: Advanced machine learning-based analytics on COVID-
19 data using generative adversarial networksJanga Vijay kumar a, â‡', A. Harshavardhan …
19 data using generative adversarial networksJanga Vijay kumar a, â‡', A. Harshavardhan …