AIMC Topic: Solitary Pulmonary Nodule

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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
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Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM.

Journal of digital imaging Dec 1, 2017
Lung cancer is pointed as the major cause of death among patients with cancer throughout the world. This work is intended to develop a methodology for diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resour...
Humans Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Lung Phylogeny Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Lung Neoplasms Support Vector Machine Solitary Pulmonary Nodule Genetic Variation Pattern Recognition, Automated
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Multi-scale Convolutional Neural Networks for Lung Nodule Classification.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
We investigate the problem of diagnostic lung nodule classification using thoracic Computed Tomography (CT) screening. Unlike traditional studies primarily relying on nodule segmentation for regional analysis, we tackle a more challenging problem on ...
Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiography, Thoracic Radiographic Image Enhancement
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