AIMC Topic: Lung

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Deep learning-based fast volumetric imaging using kV and MV projection images for lung cancer radiotherapy: A feasibility study.

Medical physics Mar 24, 2023
PURPOSE: The long acquisition time of CBCT discourages repeat verification imaging, therefore increasing treatment uncertainty. In this study, we present a fast volumetric imaging method for lung cancer radiation therapy using an orthogonal 2D kV/MV ...
Phantoms, Imaging Humans Lung Deep Learning Cone-Beam Computed Tomography Lung Neoplasms Feasibility Studies
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Prognostic value of deep learning-based fibrosis quantification on chest CT in idiopathic pulmonary fibrosis.

European radiology Mar 16, 2023
OBJECTIVE: To investigate the prognostic value of deep learning (DL)-driven CT fibrosis quantification in idiopathic pulmonary fibrosis (IPF).
Retrospective Studies Tomography, X-Ray Computed Aged Humans Prognosis Idiopathic Pulmonary Fibrosis Fibrosis Carbon Monoxide Male Lung Deep Learning Vital Capacity
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[Robotic Diaphragm Plication].

Zentralblatt fur Chirurgie Mar 8, 2023
Acquired unilateral hemidiaphragm elevation is characterised by dyspnoea, which is typically aggravated when lying down, bending over or during swimming. The most common causes are idiopathic or due to injury to the phrenic nerve during cervical or c...
Diaphragm Respiratory Paralysis Lung Robotics Robotic Surgical Procedures Humans
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Comparison of Deep-Learning Image Reconstruction With Hybrid Iterative Reconstruction for Evaluating Lung Nodules With High-Resolution Computed Tomography.

Journal of computer assisted tomography Mar 3, 2023
OBJECTIVE: This study aimed to investigate the impact of deep-learning reconstruction (DLR) on the detailed evaluation of solitary lung nodule using high-resolution computed tomography (HRCT) compared with hybrid iterative reconstruction (hybrid IR).
Aged Aged, 80 and over Male Tomography, X-Ray Computed Female Humans Image Processing, Computer-Assisted Middle Aged Algorithms Radiographic Image Interpretation, Computer-Assisted Lung Retrospective Studies Radiation Dosage Deep Learning
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Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals.

JAMA network open Mar 1, 2023
IMPORTANCE: Annual low-dose computed tomographic (LDCT) screening reduces lung cancer mortality, but harms could be reduced and cost-effectiveness improved by reusing the LDCT image in conjunction with deep learning or statistical models to identify ...
Middle Aged Lung Deep Learning Lung Neoplasms Early Detection of Cancer Tomography, X-Ray Computed Female Male Humans
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Editorial for "Implementable Deep Learning for Multi-sequence Proton MRI Lung Segmentation: A Multi-center, Multi-vendor and Multi-disease Study".

Journal of magnetic resonance imaging : JMRI Feb 27, 2023
Multicenter Studies as Topic Protons Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Lung Deep Learning
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Deep-Learning-Based Whole-Lung and Lung-Lesion Quantification Despite Inconsistent Ground Truth: Application to Computerized Tomography in SARS-CoV-2 Nonhuman Primate Models.

Academic radiology Feb 27, 2023
RATIONALE AND OBJECTIVES: Animal modeling of infectious diseases such as coronavirus disease 2019 (COVID-19) is important for exploration of natural history, understanding of pathogenesis, and evaluation of countermeasures. Preclinical studies enable...
Deep Learning SARS-CoV-2 COVID-19 Primates Animals Tomography, X-Ray Computed Lung
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Robot-assisted resection of multiple lung nodules through combination of intercostal incisions and a subxiphoid incision as a utility port.

The international journal of medical robotics + computer assisted surgery : MRCAS Feb 27, 2023
INTRODUCTION: Robotic-assisted thoracic surgery (RATS) via subxiphoid incision may be superior in resection of multiple lung nodules.
Humans Retrospective Studies Robotics Lung Robotic Surgical Procedures Lung Neoplasms Thoracic Surgery, Video-Assisted
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MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds.

Medical & biological engineering & computing Feb 24, 2023
Coronavirus has an impact on millions of lives and has been added to the important pandemics that continue to affect with its variants. Since it is transmitted through the respiratory tract, it has had significant effects on public health and social ...
Humans Deep Learning Cough COVID-19 SARS-CoV-2 Lung
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Implementable Deep Learning for Multi-sequence Proton MRI Lung Segmentation: A Multi-center, Multi-vendor, and Multi-disease Study.

Journal of magnetic resonance imaging : JMRI Feb 17, 2023
BACKGROUND: Recently, deep learning via convolutional neural networks (CNNs) has largely superseded conventional methods for proton ( H)-MRI lung segmentation. However, previous deep learning studies have utilized single-center data and limited acqui...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Protons Male Humans Lung Retrospective Studies Deep Learning Female
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