Applications of deep learning to reduce the need for iodinated contrast media for CT imaging: a systematic review

G Azarfar, SB Ko, SJ Adams, PS Babyn - International Journal of …, 2023 - Springer
Purpose The usage of iodinated contrast media (ICM) can improve the sensitivity and
specificity of computed tomography (CT) for many clinical indications. However, the adverse …

Automatic localization of cephalometric landmarks based on convolutional neural network

J Yao, W Zeng, T He, S Zhou, Y Zhang, J Guo… - American Journal of …, 2022 - Elsevier
Introduction Cephalometry plays an important role in the diagnosis and treatment of
orthodontics and orthognathic surgery. This study intends to develop an automatic landmark …

[Retracted] Construction and Drug Evaluation Based on Convolutional Neural Network System Optimized by Grey Correlation Analysis

H Teng - Computational intelligence and neuroscience, 2021 - Wiley Online Library
Incidence rate of mental illness is increasing year by year with the development of city. The
amount of modern medical data is huge and complex. In many cases, it is difficult to realize …

Automatic segmentation of the gross target volume in radiotherapy for lung cancer using transresSEUnet 2.5 D Network

H **e, Z Chen, J Deng, J Zhang, H Duan… - Journal of Translational …, 2022 - Springer
Objective This paper intends to propose a method of using TransResSEUnet2. 5D network
for accurate automatic segmentation of the Gross Target Volume (GTV) in Radiotherapy for …

[HTML][HTML] Интеллектуальные методы анализа данных в биомедицинских исследованиях: сверточные нейронные сети

АН Наркевич, КА Виноградов… - Экология …, 2021 - cyberleninka.ru
Одним из современных средств, позволяющих в медицинских исследованиях
анализировать и распознавать не просто набор данных об исследуемых объектах или …

Multi-phase synthetic contrast enhancement in interventional computed tomography for guiding renal cryotherapy

MA Pinnock, Y Hu, S Bandula, DC Barratt - International Journal of …, 2023 - Springer
Purpose Minimally invasive treatments for renal carcinoma offer a low rate of complications
and quick recovery. One drawback of the use of computed tomography (CT) for needle …

Time conditioning for arbitrary contrast phase generation in interventional computed tomography

MA Pinnock, Y Hu, S Bandula… - Physics in Medicine & …, 2024 - iopscience.iop.org
Minimally invasive ablation techniques for renal cancer are becoming more popular due to
their low complication rate and rapid recovery period. Despite excellent visualisation, one …

Innovative Imaging and Analysis Techniques for Quantifying Spalling Repair Materials in Concrete Pavements

J Cho, J Kang, Y Song, S Lee, J Yeon - Sustainability, 2023 - mdpi.com
Traditional spalling repair on concrete pavement roads is labor-intensive. It involves traffic
blockages and the manual calculation of repair areas, leading to time-consuming processes …

Deep learning‐based virtual noncontrast CT for volumetric modulated arc therapy planning: Comparison with a dual‐energy CT‐based approach

Y Koike, S Ohira, Y Akino, T Sagawa, M Yagi… - Medical …, 2020 - Wiley Online Library
Purpose The aim of this study was to develop a deep learning (DL) method for generating
virtual noncontrast (VNC) computed tomography (CT) images from contrast‐enhanced (CE) …

[PDF][PDF] Non-invasive Primary Screening of Oral Lesions into Binary and Multi Class using Convolutional Neural Network, Stratified K-fold Validation and Transfer …

R Shah, J Pareek - Indian Journal of Science …, 2024 - sciresol.s3.us-east-2.amazonaws …
Objectives: To develop a deep learning method using camera images that can effectively
detect the preliminary phase of oral cancer, which has a high rate of morbidity and mortality …