AIMC Topic: Lung

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Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem.

IEEE transactions on medical imaging Aug 19, 2019
Volumetric imaging is an essential diagnostic tool for medical practitioners. The use of popular techniques such as convolutional neural networks (CNN) for analysis of volumetric images is constrained by the availability of detailed (with local annot...
Supervised Machine Learning Emphysema Pulmonary Disease, Chronic Obstructive Lung Deep Learning Imaging, Three-Dimensional Humans Algorithms Tomography, X-Ray Computed
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Digital whole-slide image analysis for automated diatom test in forensic cases of drowning using a convolutional neural network algorithm.

Forensic science international Aug 8, 2019
Diatom examinations have been widely used to perform drowning diagnosis in forensic practice. However, current methods for recognizing diatoms, which use light or electron microscopy, are time-consuming and laborious and often result in false positiv...
Lung Deep Learning Diatoms Forensic Pathology Drowning Humans Neural Networks, Computer Algorithms Sensitivity and Specificity
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Learning to Quantify Emphysema Extent: What Labels Do We Need?

IEEE journal of biomedical and health informatics Aug 1, 2019
Accurate assessment of pulmonary emphysema is crucial to assess disease severity and subtype, to monitor disease progression, and to predict lung cancer risk. However, visual assessment is time-consuming and subject to substantial inter-rater variabi...
Humans Machine Learning Middle Aged Disease Progression Lung Pulmonary Emphysema Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Female Male
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Fast and accurate reconstruction of human lung gas MRI with deep learning.

Magnetic resonance in medicine Jul 19, 2019
PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space using deep learning.
Bronchiectasis Fourier Analysis Protons Xenon Isotopes Inflammation Magnetic Resonance Imaging Solitary Pulmonary Nodule Tuberculosis, Pulmonary Healthy Volunteers Smoking Respiration Signal-To-Noise Ratio Lung Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Pulmonary Disease, Chronic Obstructive Asthma Male Middle Aged Humans Algorithms Prospective Studies Retrospective Studies Aged Young Adult Adult Female Reproducibility of Results
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A convolutional neural network for ultra-low-dose CT denoising and emphysema screening.

Medical physics Jul 17, 2019
PURPOSE: Reducing dose level to achieve ALARA is an important task in diagnostic and therapeutic applications of computed tomography (CT) imaging. Effective image quality enhancement strategies are crucial to compensate for the degradation caused by ...
Neural Networks, Computer Tomography, X-Ray Computed Lung Image Processing, Computer-Assisted Pulmonary Emphysema Image Enhancement Radiation Dosage Signal-To-Noise Ratio
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Transbronchial biopsy catheter enhanced by a multisection continuum robot with follow-the-leader motion.

International journal of computer assisted radiology and surgery Jul 9, 2019
PURPOSE: Current manual catheters for transbronchial biopsy in the lung lack a steering ability, which hampers a physician's ability to reach nodules in the peripheral lung. The objective of this paper is to design and build a multisection robot with...
Humans Lung Bronchoscopy Printing, Three-Dimensional Robotics Equipment Design Biopsy Catheters
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Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.

European journal of radiology Jun 28, 2019
PURPOSE: To explore the feasibility and performance of machine learning-based radiomics classifier to predict the cell proliferation(Ki-67)in non-small cell lung cancer (NSCLC).
Adult Tomography, X-Ray Computed Carcinoma, Non-Small-Cell Lung Sensitivity and Specificity Humans Lung Radiographic Image Interpretation, Computer-Assisted Female Male Machine Learning ROC Curve Aged Middle Aged Lung Neoplasms Algorithms Aged, 80 and over Cell Proliferation Retrospective Studies
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Diagnostic value of spirometry vs impulse oscillometry: A comparative study in children with sickle cell disease.

Pediatric pulmonology Jun 18, 2019
BACKGROUND: Spirometry is conventionally used to diagnose airway diseases in children with sickle cell disease (C-SCD). However, spirometry is difficult for younger children to perform, is effort dependent, and it provides limited information on resp...
Oscillometry Retrospective Studies Child Female ROC Curve Spirometry Lung Humans Asthma Anemia, Sickle Cell Respiratory Mechanics Case-Control Studies Machine Learning Respiratory Function Tests Male Vital Capacity Adolescent Bronchodilator Agents Child, Preschool
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Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses.

Radiology Jun 18, 2019
Background Intratumor heterogeneity in lung cancer may influence outcomes. CT radiomics seeks to assess tumor features to provide detailed imaging features. However, CT radiomic features vary according to the reconstruction kernel used for image gene...
Female Reproducibility of Results Male Middle Aged Lung Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Humans Retrospective Studies Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted
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An Intelligent Recurrent Neural Network with Long Short-Term Memory (LSTM) BASED Batch Normalization for Medical Image Denoising.

Journal of medical systems Jun 15, 2019
The process of denoising of medical images that are corrupted by noise is considered as a long established setback in the signal or image processing domain. An effective system for denoising in order to remove white, salt and also pepper noises by me...
Tomography, X-Ray Computed Humans Lung Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Signal-To-Noise Ratio
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