AI Medical Compendium Journal:
Journal of X-ray science and technology

Showing 91 to 100 of 116 articles

Breast cancer pathological image classification based on deep learning.

Journal of X-ray science and technology Jan 1, 2020
The automatic classification of breast cancer pathological images has important clinical application value. However, to develop the classification algorithm using the artificially extracted image features faces several challenges including the requir...
Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Algorithms Databases, Factual Humans Neural Networks, Computer
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Automatic left ventricle segmentation from cardiac magnetic resonance images using a capsule network.

Journal of X-ray science and technology Jan 1, 2020
PURPOSE: Segmentation of magnetic resonance images (MRI) of the left ventricle (LV) plays a key role in quantifying the volumetric functions of the heart, such as the area, volume, and ejection fraction. Traditionally, LV segmentation is performed ma...
Magnetic Resonance Imaging Heart Ventricles Image Interpretation, Computer-Assisted Algorithms Deep Learning Humans
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Quantification of hepatic steatosis in histologic images by deep learning method.

Journal of X-ray science and technology Jan 1, 2019
OBJECTIVE: To develop and test a novel method for automatic quantification of hepatic steatosis in histologic images based on the deep learning scheme designed to predict the fat ratio directly, which aims to improve accuracy in diagnosis of non-alco...
Deep Learning Neural Networks, Computer Rabbits Female Tomography, X-Ray Computed Animals Liver Diet, High-Fat Male Non-alcoholic Fatty Liver Disease
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Limits on transfer learning from photographic image data to X-ray threat detection.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: X-ray imaging is a crucial and ubiquitous tool for detecting threats to transport security, but interpretation of the images presents a logistical bottleneck. Recent advances in Deep Learning image classification offer hope of improving t...
Photography Aviation Security Measures Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Automatic prostate segmentation based on fusion between deep network and variational methods.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Segmentation of prostate from magnetic resonance images (MRI) is a critical process for guiding prostate puncture and biopsy. Currently, the best results are obtained by Convolutional Neural Network (CNN). However, challenges still exist ...
Prostate Image-Guided Biopsy Image Processing, Computer-Assisted Magnetic Resonance Imaging Male ROC Curve Imaging, Three-Dimensional Humans Neural Networks, Computer
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New one-step model of breast tumor locating based on deep learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Breast cancer has the highest cancer prevalence rate among the women worldwide. Early detection of breast cancer is crucial for successful treatment and reducing cancer mortality rate. However, tumor detection of breast ultrasound (US) im...
Neural Networks, Computer Algorithms Breast Neoplasms Deep Learning Female Humans Radiographic Image Interpretation, Computer-Assisted Ultrasonography, Mammary Image Processing, Computer-Assisted Breast Mammography
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Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Deep learning has made spectacular achievements in analysing natural images, but it faces challenges for medical applications partly due to inadequate images.
Lung Neoplasms Deep Learning Solitary Pulmonary Nodule ROC Curve Radiographic Image Interpretation, Computer-Assisted Humans Databases, Factual Reproducibility of Results Lung Tomography, X-Ray Computed
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Multi-material decomposition of spectral CT images via Fully Convolutional DenseNets.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Spectral computed tomography (CT) has the capability to resolve the energy levels of incident photons, which has the potential to distinguish different material compositions. Although material decomposition methods based on x-ray attenuat...
Photons Radiography, Dual-Energy Scanned Projection Calibration Signal-To-Noise Ratio Tomography, X-Ray Computed Image Processing, Computer-Assisted Animals Deep Learning Mice
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Iterative image reconstruction for sparse-view CT via total variation regularization and dictionary learning.

Journal of X-ray science and technology Jan 1, 2019
Recently, low-dose computed tomography (CT) has become highly desirable due to the increasing attention paid to the potential risks of excessive radiation of the regular dose CT. However, ensuring image quality while reducing the radiation dose in th...
Machine Learning Image Processing, Computer-Assisted Least-Squares Analysis Radiation Dosage Algorithms Tomography, X-Ray Computed Phantoms, Imaging
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Reduced iteration image reconstruction of incomplete projection CT using regularization strategy through Lp norm dictionary learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: For sparse and limited angle projection Computed Tomography (CT), the reconstructed image usually suffers from considerable artifacts due to undersampled data.
Artifacts Signal-To-Noise Ratio Phantoms, Imaging Machine Learning Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted
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