[HTML][HTML] Nerve optic segmentation in CT images using a deep learning model and a texture descriptor
R Ranjbarzadeh, S Dorosti… - Complex & Intelligent …, 2022 - Springer
The increased intracranial pressure (ICP) can be described as an increase in pressure
around the brain and can lead to serious health problems. The assessment of ultrasound …
around the brain and can lead to serious health problems. The assessment of ultrasound …
[HTML][HTML] Protecting digital images using keys enhanced by 2D chaotic logistic maps
This research paper presents a novel digital color image encryption approach that ensures
high-level security while remaining simple and efficient. The proposed method utilizes a …
high-level security while remaining simple and efficient. The proposed method utilizes a …
[HTML][HTML] DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites
Background Addressing the laborious nature of traditional biological experiments by using
an efficient computational approach to analyze RNA-binding proteins (RBPs) binding sites …
an efficient computational approach to analyze RNA-binding proteins (RBPs) binding sites …
Virtual differential phase‐contrast and dark‐field imaging of x‐ray absorption images via deep learning
Weak absorption contrast in biological tissues has hindered x‐ray computed tomography
from accessing biological structures. Recently, grating‐based imaging has emerged as a …
from accessing biological structures. Recently, grating‐based imaging has emerged as a …
A novel multivariable time series prediction model for acute kidney injury in general hospitalization
Objective Early recognition and prevention are important to reduce the risk of acute kidney
injury (AKI). We aimed to build a novel multivariate time series prediction model for dynamic …
injury (AKI). We aimed to build a novel multivariate time series prediction model for dynamic …
Deep-learning-based denoising of X-ray differential phase and dark-field images
K Ren, Y Gu, M Luo, H Chen, Z Wang - European Journal of Radiology, 2023 - Elsevier
Purpose Statistical photon noise has always been a common problem in X-ray multi-contrast
imaging and significantly influenced the quality of retrieved differential phase and dark-field …
imaging and significantly influenced the quality of retrieved differential phase and dark-field …
DeepPhase: learning phase contrast signal from dual energy X-ray absorption images
Due to the high hardware complexity and low dose efficiency of existing X-ray phase
contrast imaging, the biomedical and clinical applications of this novel imaging technique …
contrast imaging, the biomedical and clinical applications of this novel imaging technique …
Imaging of conductivity distribution based on a combined reconstruction method in brain electrical impedance tomography.
Y Shi, Y Lou, M Wang, S Zheng… - Inverse Problems & …, 2023 - search.ebscohost.com
Electrical impedance tomography (EIT) is a promising technique in medical imaging. With
this technique, pathology-related conductivity variation can be visualized. Nevertheless …
this technique, pathology-related conductivity variation can be visualized. Nevertheless …
INSIDEnet: Interpretable nonexpansive data‐efficient network for denoising in grating interferometry breast CT
Purpose Breast cancer is the most common malignancy in women. Unfortunately, current
breast imaging techniques all suffer from certain limitations: they are either not fully three …
breast imaging techniques all suffer from certain limitations: they are either not fully three …
Investigating the impact of novel XRayGAN in feature extraction for thoracic disease detection in chest radiographs: lung cancer
Lung cancer remains one of the most lethal malignancies worldwide, underscoring the
urgent need for early detection and intervention to improve survival rates. While computed …
urgent need for early detection and intervention to improve survival rates. While computed …