AIMC Topic: Lung

Clear Filters Showing 951 to 960 of 984 articles

Deep Learning for Pulmonary Image Analysis: Classification, Detection, and Segmentation.

Advances in experimental medicine and biology Jan 1, 2020
Image-based computer-aided diagnosis (CAD) algorithms by the use of convolutional neural network (CNN) which do not require the image-feature extractor are powerful compared with conventional feature-based CAD algorithms which require the image-featu...
Diagnosis, Computer-Assisted Deep Learning Lung Diseases Image Interpretation, Computer-Assisted Humans Lung
View on PubMed DOI

Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks.

Journal of digital imaging Dec 1, 2019
A robust lung segmentation method using a deep convolutional neural network (CNN) was developed and evaluated on high-resolution computed tomography (HRCT) and volumetric CT of various types of diffuse interstitial lung disease (DILD). Chest CT image...
Lung Diseases, Interstitial Lung Cone-Beam Computed Tomography Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Tomography, X-Ray Computed
View on PubMed DOI

Investigation of Low-Dose CT Lung Cancer Screening Scan "Over-Range" Issue Using Machine Learning Methods.

Journal of digital imaging Dec 1, 2019
Low-dose computed tomography (CT) lung cancer screening is recommended by the US Preventive Services Task Force for high lung cancer-risk populations. In this study, we investigated an important factor affecting the CT dose-the scan length, for this ...
Humans Machine Learning Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Middle Aged Lung
View on PubMed DOI

Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network.

Journal of digital imaging Dec 1, 2019
Remarkable progress has been made in image classification and segmentation, due to the recent study of deep convolutional neural networks (CNNs). To solve the similar problem of diagnostic lung nodule detection in low-dose computed tomography (CT) sc...
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Humans Lung Neural Networks, Computer Lung Neoplasms Databases, Factual
View on PubMed DOI

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...
Lung Neoplasms Humans Multiple Pulmonary Nodules Machine Learning Radiographic Image Interpretation, Computer-Assisted Solitary Pulmonary Nodule Databases, Factual Reproducibility of Results Tomography, X-Ray Computed Sensitivity and Specificity Lung
View on PubMed DOI

Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images.

Investigative radiology Oct 1, 2019
OBJECTIVES: The objective of this study is to assess the performance of a computer-aided diagnosis (CAD) system (INTACT system) for the automatic classification of high-resolution computed tomography images into 4 radiological diagnostic categories a...
Biopsy Pulmonary Fibrosis Image Interpretation, Computer-Assisted Lung Diagnosis, Computer-Assisted Deep Learning Sensitivity and Specificity Male Middle Aged Algorithms Aged Retrospective Studies Humans Female Tomography, X-Ray Computed Aged, 80 and over Reproducibility of Results
View on PubMed DOI

Lung Nodule Classification using A Novel Two-stage Convolutional Neural Networks Structure'.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Lung cancer is one of the most fatal cancers in the world. If the lung cancer can be diagnosed at an early stage, the survival rate of patients post treatment increases dramatically. Computed Tomography (CT) diagram is an effective tool to detect lun...
Lung Lung Neoplasms Precancerous Conditions Humans Neural Networks, Computer Tomography, X-Ray Computed
View on PubMed DOI

Classification of radiographic lung pattern based on texture analysis and machine learning.

Journal of veterinary science Jul 1, 2019
This study evaluated the feasibility of using texture analysis and machine learning to distinguish radiographic lung patterns. A total of 1200 regions of interest (ROIs) including four specific lung patterns (normal, alveolar, bronchial, and unstruct...
Machine Learning Algorithms Female Animals Male Lung Dogs ROC Curve Cats Area Under Curve Radiography
View on PubMed DOI

Machine learning-based predictors for immune checkpoint inhibitor therapy of non-small-cell lung cancer.

Annals of oncology : official journal of the European Society for Medical Oncology Apr 1, 2019
Lung Neoplasms Humans Biopsy B7-H1 Antigen Machine Learning Models, Genetic Programmed Cell Death 1 Receptor Male Carcinoma, Non-Small-Cell Lung Aged, 80 and over Aged Drug Resistance, Neoplasm Predictive Value of Tests Middle Aged Mutation Lung Adult Biomarkers, Tumor
View on PubMed DOI

Deep Learning Applications in Chest Radiography and Computed Tomography: Current State of the Art.

Journal of thoracic imaging Mar 1, 2019
Deep learning is a genre of machine learning that allows computational models to learn representations of data with multiple levels of abstraction using numerous processing layers. A distinctive feature of deep learning, compared with conventional ma...
Deep Learning Lung Diseases Radiography, Thoracic Humans Tomography, X-Ray Computed Lung
View on PubMed DOI
Popular Topics
Recent Journals