AIMC Topic: Lung

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Optimizing convolutional neural networks for Chronic Obstructive Pulmonary Disease detection in clinical computed tomography imaging.

Computers in biology and medicine Dec 19, 2024
We aim to optimize the binary detection of Chronic Obstructive Pulmonary Disease (COPD) based on emphysema presence in the lung with convolutional neural networks (CNN) by exploring manually adjusted versus automated window-setting optimization (WSO)...
Tomography, X-Ray Computed Female Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Lung Humans Neural Networks, Computer Retrospective Studies Convolutional Neural Networks Image Processing, Computer-Assisted
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Diagnosis of Fibrotic Interstitial Lung Diseases Based on the Combination of Label-Free Quantitative Multiphoton Fiber Histology and Machine Learning.

Laboratory investigation; a journal of technical methods and pathology Dec 13, 2024
Interstitial lung disease (ILD), characterized by inflammation and fibrosis, often suffers from low diagnostic accuracy and consistency. Traditional hematoxylin and eosin (H&E) staining primarily reveals cellular inflammation with limited detail on f...
Elastin Adult Male Middle Aged Humans Lung Lung Diseases, Interstitial Collagen Microscopy, Fluorescence, Multiphoton Machine Learning Algorithms Female Aged
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Integrating microbial profiling and machine learning for inference of drowning sites: a forensic investigation in the Northwest River.

Microbiology spectrum Dec 9, 2024
Drowning incidents present significant challenges for forensic investigators in determining the exact site of occurrence. Traditional forensic methods often rely on physical evidence and circumstantial clues, but the emerging field of forensic microb...
Microbiota Rivers Water Microbiology Forensic Sciences Drowning Lung Machine Learning Mice Animals Bacteria RNA, Ribosomal, 16S
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MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-Ray Self-Supervised Representation Learning.

IEEE journal of biomedical and health informatics Dec 5, 2024
Self-supervised learning (SSL) reduces the need for manual annotation in deep learning models for medical image analysis. By learning the representations from unablelled data, self-supervised models perform well on tasks that require little to no fin...
Radiography, Thoracic Deep Learning Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Humans Lung
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Multi-Label Chest X-Ray Image Classification With Single Positive Labels.

IEEE transactions on medical imaging Dec 2, 2024
Deep learning approaches for multi-label Chest X-ray (CXR) images classification usually require large-scale datasets. However, acquiring such datasets with full annotations is costly, time-consuming, and prone to noisy labels. Therefore, we introduc...
Humans Algorithms Databases, Factual Supervised Machine Learning Radiography, Thoracic Thorax Lung Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Accurate Airway Tree Segmentation in CT Scans via Anatomy-Aware Multi-Class Segmentation and Topology-Guided Iterative Learning.

IEEE transactions on medical imaging Dec 2, 2024
Intrathoracic airway segmentation in computed tomography is a prerequisite for various respiratory disease analyses such as chronic obstructive pulmonary disease, asthma and lung cancer. Due to the low imaging contrast and noises execrated at periphe...
Humans Lung Deep Learning Image Processing, Computer-Assisted Algorithms Databases, Factual Tomography, X-Ray Computed
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CNN-O-ELMNet: Optimized Lightweight and Generalized Model for Lung Disease Classification and Severity Assessment.

IEEE transactions on medical imaging Dec 2, 2024
The high burden of lung diseases on healthcare necessitates effective detection methods. Current Computer-aided design (CAD) systems are limited by their focus on specific diseases and computationally demanding deep learning models. To overcome these...
Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Lung Humans Severity of Illness Index Deep Learning Lung Neoplasms Lung Diseases
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Accurate Lung Nodule Segmentation With Detailed Representation Transfer and Soft Mask Supervision.

IEEE transactions on neural networks and learning systems Dec 2, 2024
Accurate lung lesion segmentation from computed tomography (CT) images is crucial to the analysis and diagnosis of lung diseases, such as COVID-19 and lung cancer. However, the smallness and variety of lung nodules and the lack of high-quality labeli...
COVID-19 Algorithms Databases, Factual Tomography, X-Ray Computed Humans Neural Networks, Computer Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning SARS-CoV-2 Lung Image Processing, Computer-Assisted
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External validation of the performance of commercially available deep-learning-based lung nodule detection on low-dose CT images for lung cancer screening in Japan.

Japanese journal of radiology Nov 30, 2024
PURPOSE: Artificial intelligence (AI) algorithms for lung nodule detection have been developed to assist radiologists. However, external validation of its performance on low-dose CT (LDCT) images is insufficient. We examined the performance of the co...
Radiation Dosage Early Detection of Cancer Radiographic Image Interpretation, Computer-Assisted Japan Female Humans Deep Learning Aged Male Retrospective Studies Lung Neoplasms Middle Aged Aged, 80 and over Tomography, X-Ray Computed Sensitivity and Specificity Lung Multiple Pulmonary Nodules Solitary Pulmonary Nodule
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Identification of an immune-related gene panel for the diagnosis of pulmonary arterial hypertension using bioinformatics and machine learning.

International immunopharmacology Nov 30, 2024
OBJECTIVE: This study aimed to screen an immune-related gene (IRG) panel and develop a novel approach for diagnosing pulmonary arterial hypertension (PAH) utilizing bioinformatics and machine learning (ML).
Mice Animals Humans Mice, Inbred C57BL Computational Biology Machine Learning Male Disease Models, Animal Pulmonary Artery Biomarkers Lung Pulmonary Arterial Hypertension Gene Expression Profiling Superoxide Dismutase-1
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