AIMC Topic: Multiple Pulmonary Nodules

Clear Filters Showing 141 to 145 of 145 articles

Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning.

Journal of digital imaging Dec 1, 2019
Computer-aided diagnosis (CAD) has already been widely used in medical image processing. We recently make another trial to implement convolutional neural network (CNN) on the classification of pulmonary nodules of thoracic CT images. The biggest chal...
Humans Machine Learning Databases, Factual Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Lung Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

[Computer instruments for the management of isolated pulmonary nodule. Detectability and prediction of malignancy].

Revue medicale suisse Nov 13, 2019
Lung cancer remains the most common cause of cancer deaths in the world, but its mortality can be significantly reduced by diagnosis and early detection. Computerized resources were developed to assist radiologists in their management of the large vo...
Humans Artificial Intelligence Sensitivity and Specificity Diagnosis, Computer-Assisted Lung Neoplasms Multiple Pulmonary Nodules
View on PubMed

[Performance of Deep-learning-based Artificial Intelligence on Detection of Pulmonary Nodules in Chest CT].

Zhongguo fei ai za zhi = Chinese journal of lung cancer Jun 20, 2019
BACKGROUND: The detection of pulmonary nodules is a key step to achieving the early diagnosis and therapy of lung cancer. Deep learning based Artificial intelligence (AI) presents as the state of the art in the area of nodule detection, however, a va...
Humans Artificial Intelligence Tomography, X-Ray Computed Deep Learning Lung Neoplasms Multiple Pulmonary Nodules
View on PubMed DOI

Expert knowledge-infused deep learning for automatic lung nodule detection.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Computer aided detection (CADe) of pulmonary nodules from computed tomography (CT) is crucial for early diagnosis of lung cancer. Self-learned features obtained by training datasets via deep learning have facilitated CADe of the nodules. ...
Humans Neural Networks, Computer Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Knowledge Bases
View on PubMed DOI

3D deep learning for detecting pulmonary nodules in CT scans.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: To demonstrate and test the validity of a novel deep-learning-based system for the automated detection of pulmonary nodules.
Humans Tomography, X-Ray Computed Sensitivity and Specificity Lung Diagnosis, Computer-Assisted Deep Learning ROC Curve Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals