AIMC Topic: Solitary Pulmonary Nodule

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Automatic lung nodule detection using multi-scale dot nodule-enhancement filter and weighted support vector machines in chest computed tomography.

PloS one Jan 10, 2019
A novel CAD scheme for automated lung nodule detection is proposed to assist radiologists with the detection of lung cancer on CT scans. The proposed scheme is composed of four major steps: (1) lung volume segmentation, (2) nodule candidate extractio...
Humans Algorithms Tomography, X-Ray Computed Support Vector Machine Lung Solitary Pulmonary Nodule Imaging, Three-Dimensional Lung Neoplasms False Positive Reactions
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Incorporating automatically learned pulmonary nodule attributes into a convolutional neural network to improve accuracy of benign-malignant nodule classification.

Physics in medicine and biology Dec 10, 2018
Existing deep-learning-based pulmonary nodule classification models usually use images and benign-malignant labels as inputs for training. Image attributes of the nodules, as human-nameable high-level semantic labels, are rarely used to build a convo...
Humans Lung Neoplasms Solitary Pulmonary Nodule Algorithms Tomography, X-Ray Computed Deep Learning
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Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists.

Thoracic cancer Dec 8, 2018
BACKGROUND: The study was conducted to evaluate the performance of a state-of-the-art commercial deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing pulmonary nodules.
Humans Solitary Pulmonary Nodule Early Detection of Cancer Radiologists Middle Aged Case-Control Studies Diagnosis, Computer-Assisted Deep Learning Follow-Up Studies Multiple Pulmonary Nodules Female Reproducibility of Results Male Prognosis Tomography, X-Ray Computed
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3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT.

IEEE journal of biomedical and health informatics Nov 9, 2018
Deep two-dimensional (2-D) convolutional neural networks (CNNs) have been remarkably successful in producing record-breaking results in a variety of computer vision tasks. It is possible to extend CNNs to three dimensions using 3-D kernels to make th...
Radiographic Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Lung Neoplasms Solitary Pulmonary Nodule Tomography, X-Ray Computed Lung Humans Neural Networks, Computer
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A Lightweight Multi-Section CNN for Lung Nodule Classification and Malignancy Estimation.

IEEE journal of biomedical and health informatics Nov 6, 2018
The size and shape of a nodule are the essential indicators of malignancy in lung cancer diagnosis. However, effectively capturing the nodule's structural information from CT scans in a computer-aided system is a challenging task. Unlike previous mod...
Lung Neoplasms Solitary Pulmonary Nodule ROC Curve Imaging, Three-Dimensional Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Lung
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Machine learning to predict lung nodule biopsy method using CT image features: A pilot study.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 3, 2018
Computed tomography (CT)-based screening on lung cancer mortality is poised to make lung nodule management a growing public health problem. Biopsy and pathologic analysis of suspicious nodules is necessary to ensure accurate diagnosis and appropriate...
Solitary Pulmonary Nodule Predictive Value of Tests Biopsy Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Tomography, X-Ray Computed Pilot Projects Imaging, Three-Dimensional Lung Neoplasms
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Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT.

IEEE transactions on medical imaging Oct 17, 2018
The accurate identification of malignant lung nodules on chest CT is critical for the early detection of lung cancer, which also offers patients the best chance of cure. Deep learning methods have recently been successfully introduced to computer vis...
Tomography, X-Ray Computed Lung Deep Learning Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Algorithms
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Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs.

Computers in biology and medicine Oct 12, 2018
OBJECTIVE: A novel computer-aided detection (CAD) scheme for lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy is proposed to assist radiologists by providing a second opinion on accura...
Humans Imaging, Three-Dimensional Lung Neoplasms Cluster Analysis Neural Networks, Computer Radiography, Thoracic Solitary Pulmonary Nodule Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Lung
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Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection.

Computer methods and programs in biomedicine Aug 31, 2018
BACKGROUND AND OBJECTIVE: In pulmonary nodule detection, the first stage, candidate detection, aims to detect suspicious pulmonary nodules. However, detected candidates include many false positives and thus in the following stage, false positive redu...
Radiographic Image Interpretation, Computer-Assisted False Positive Reactions Humans Lung Neoplasms Neural Networks, Computer Databases, Factual Solitary Pulmonary Nodule Tomography, X-Ray Computed Diagnosis, Computer-Assisted
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The utilisation of convolutional neural networks in detecting pulmonary nodules: a review.

The British journal of radiology Jun 19, 2018
Lung cancer is one of the leading causes of cancer-related fatality in the world. Patients display few or even no signs or symptoms in the early stages, resulting in up to 75% of patients diagnosed in the later stages of the disease. Consequently, th...
Early Detection of Cancer Tomography, X-Ray Computed Humans Neural Networks, Computer Lung Neoplasms Solitary Pulmonary Nodule
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