AIMC Topic: Radiographic Image Interpretation, Computer-Assisted
Clear Filters Showing 621 to 630 of 1291 articles
A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets.
BMC medical imaging
Nov 24, 2021
BACKGROUND: Most existing algorithms have been focused on the segmentation from several public Liver CT datasets scanned regularly (no pneumoperitoneum and horizontal supine position). This study primarily segmented datasets with unconventional liver...
Assessing the utility of low resolution brain imaging: treatment of infant hydrocephalus.
NeuroImage. Clinical
Nov 23, 2021
As low-field MRI technology is being disseminated into clinical settings around the world, it is important to assess the image quality required to properly diagnose and treat a given disease and evaluate the role of machine learning algorithms, such ...
Deep learning-based reconstruction of chest ultra-high-resolution computed tomography and quantitative evaluations of smaller airways.
Respiratory investigation
Nov 22, 2021
The full-iterative model reconstruction generates ultra-high-resolution computed tomography (U-HRCT) images comprising a 1024 × 1024 matrix and 0.25 mm thickness while suppressing image noises, allowing evaluating small airways 1-2 mm in diameter. Ho...
CAD system for lung nodule detection using deep learning with CNN.
Medical & biological engineering & computing
Nov 22, 2021
The early detection of pulmonary nodules using computer-aided diagnosis (CAD) systems is very essential in reducing mortality rates of lung cancer. In this paper, we propose a new deep learning approach to improve the classification accuracy of pulmo...
Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography.
European radiology
Nov 18, 2021
OBJECTIVES: Deep-learning image reconstruction (DLIR) offers unique opportunities for reducing image noise without degrading image quality or diagnostic accuracy in coronary CT angiography (CCTA). The present study aimed at exploiting the capabilitie...
Deep-learning image-reconstruction algorithm for dual-energy CT angiography with reduced iodine dose: preliminary results.
Clinical radiology
Nov 12, 2021
AIM: To evaluate the computed tomography (CT) attenuation values, background noise, arterial depiction, and image quality in whole-body dual-energy CT angiography (DECTA) at 40 keV with a reduced iodine dose using deep-learning image reconstruction (...
RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism.
Computational and mathematical methods in medicine
Nov 10, 2021
Dental caries is a prevalent disease of the human oral cavity. Given the lack of research on digital images for caries detection, we construct a caries detection dataset based on the caries images annotated by professional dentists and propose RDFNet...
Identification of Benign and Malignant Lung Nodules in CT Images Based on Ensemble Learning Method.
Interdisciplinary sciences, computational life sciences
Nov 2, 2021
BACKGROUND AND OBJECTIVE: Under the background of urgent need for computer-aided technology to provide physicians with objective decision support, aiming at reducing the false positive rate of nodule CT detection in pulmonary nodules detection and im...
Computed Tomography Image under Convolutional Neural Network Deep Learning Algorithm in Pulmonary Nodule Detection and Lung Function Examination.
Journal of healthcare engineering
Oct 22, 2021
The objective of this study was to perform segmentation and extraction of CT images of pulmonary nodules based on convolutional neural networks (CNNs). The Mask-RCNN algorithm model is a typical end-to-end image segmentation model, which uses the R-F...
Deep Learning-Based Computed Tomography Imaging to Diagnose the Lung Nodule and Treatment Effect of Radiofrequency Ablation.
Journal of healthcare engineering
Oct 20, 2021
This study aimed to detect and diagnose the lung nodules as early as possible to effectively treat them, thereby reducing the burden on the medical system and patients. A lung computed tomography (CT) image segmentation algorithm was constructed base...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32101
- Neural Networks, Computer 30261
- Algorithms 27458
- Deep Learning 26960
- Artificial Intelligence 24883
- Robotics 13397
- Image Processing, Computer-Assisted 9751
- Retrospective Studies 9370
- Magnetic Resonance Imaging 6359
- Reproducibility of Results 5674
- Tomography, X-Ray Computed 4873
- Support Vector Machine 4777
- Computational Biology 4348
- Brain 4135
- Computer Simulation 3938
Recent Journals
- Scientific reports 6930
- Sensors (Basel, Switzerland) 4794
- PloS one 4230
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1920
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1185
- Journal of chemical information and modeling 1074
- Nature communications 1057
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 879
- Journal of medical Internet research 872
- IEEE transactions on neural networks and learning systems 858