AIMC Topic: Radiography
Clear Filters Showing 961 to 970 of 1089 articles
[Research status and outlook of deep learning in oral and maxillofacial medical imaging].
Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
Jun 9, 2023
Artificial intelligence, represented by deep learning, has received increasing attention in the field of oral and maxillofacial medical imaging, which has been widely studied in image analysis and image quality improvement. This narrative review prov...
[Research on multi-class orthodontic image recognition system based on deep learning network model].
Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
Jun 9, 2023
To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of orthodontic image data. A total of 35 000 clinical orthodontic images were collected in the Department o...
Bone age assessment from articular surface and epiphysis using deep neural networks.
Mathematical biosciences and engineering : MBE
Jun 6, 2023
Bone age assessment is of great significance to genetic diagnosis and endocrine diseases. Traditional bone age diagnosis mainly relies on experienced radiologists to examine the regions of interest in hand radiography, but it is time-consuming and ma...
Deep Learning-Enabled Detection of Pneumoperitoneum in Supine and Erect Abdominal Radiography: Modeling Using Transfer Learning and Semi-Supervised Learning.
Korean journal of radiology
Jun 1, 2023
OBJECTIVE: Detection of pneumoperitoneum using abdominal radiography, particularly in the supine position, is often challenging. This study aimed to develop and externally validate a deep learning model for the detection of pneumoperitoneum using sup...
Computer-aided detection and diagnosis/radiomics/machine learning/deep learning in medical imaging.
Medical physics
Jun 1, 2023
[Development and Application of Medical Imaging Analysis Platform Based on Radiomics and Machine Learning Technologies].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
May 30, 2023
OBJECTIVE: In order to solve the technical problems, clinical researchers face the process of medical imaging analysis such as data labeling, feature extraction and algorithm selection, a medical imaging oriented multi-disease research platform based...
ENRICHing medical imaging training sets enables more efficient machine learning.
Journal of the American Medical Informatics Association : JAMIA
May 19, 2023
OBJECTIVE: Deep learning (DL) has been applied in proofs of concept across biomedical imaging, including across modalities and medical specialties. Labeled data are critical to training and testing DL models, but human expert labelers are limited. In...
The rise of artificial intelligence reading of chest X-rays for enhanced TB diagnosis and elimination.
The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
May 1, 2023
We provide an overview of the latest evidence on computer-aided detection (CAD) software for automated interpretation of chest radiographs (CXRs) for TB detection. CAD is a useful tool that can assist in rapid and consistent CXR interpretation for TB...
Implementation of Artificial Intelligence-Assisted Chest X-ray Interpretation: It Is About Time.
Annals of the American Thoracic Society
May 1, 2023
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