AIMC Topic: Lung

Clear Filters Showing 91 to 100 of 982 articles

Predicting Survival and Recurrence of Lung Ablation Patients Using Deep Learning-Based Automatic Segmentation and Radiomics Analysis.

Cardiovascular and interventional radiology Nov 27, 2024
PURPOSE: To predict survival and tumor recurrence following image-guided thermal ablation (IGTA) of lung tumors segmented using a deep learning approach.
Neoplasm Recurrence, Local Ablation Techniques Deep Learning Lung Neoplasms Surgery, Computer-Assisted Humans Retrospective Studies Radiomics Male Tomography, X-Ray Computed Female Middle Aged Aged Lung
View on PubMed DOI

Application of NotebookLM, a large language model with retrieval-augmented generation, for lung cancer staging.

Japanese journal of radiology Nov 25, 2024
PURPOSE: In radiology, large language models (LLMs), including ChatGPT, have recently gained attention, and their utility is being rapidly evaluated. However, concerns have emerged regarding their reliability in clinical applications due to limitatio...
Japan Lung Humans Large Language Models Tomography, X-Ray Computed Lung Neoplasms Reproducibility of Results Neoplasm Staging
View on PubMed DOI

Pulmonary Xe MRI: CNN Registration and Segmentation to Generate Ventilation Defect Percent with Multi-center Validation.

Academic radiology Nov 23, 2024
RATIONALE AND OBJECTIVES: Hyperpolarized Xe MRI quantifies ventilation-defect-percent (VDP), the ratio of Xe signal-void to the anatomic H MRI thoracic-cavity-volume. VDP is associated with airway inflammation and disease control and serves as a trea...
Neural Networks, Computer Female Reproducibility of Results Middle Aged Lung Adult Male Humans Xenon Isotopes Deep Learning Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
View on PubMed DOI

CT ventilation images produced by a 3D neural network show improvement over the Jacobian and HU DIR-based methods to predict quantized lung function.

Medical physics Nov 23, 2024
BACKGROUND: Radiation-induced pneumonitis affects up to 33% of non-small cell lung cancer (NSCLC) patients, with fatal pneumonitis occurring in 2% of patients. Pneumonitis risk is related to the dose and volume of lung irradiated. Clinical radiothera...
Humans Tomography, X-Ray Computed Neural Networks, Computer Lung Neoplasms Lung Pulmonary Ventilation Imaging, Three-Dimensional Carcinoma, Non-Small-Cell Lung
View on PubMed DOI

Attention-based multi-residual network for lung segmentation in diseased lungs with custom data augmentation.

Scientific reports Nov 22, 2024
Lung disease analysis in chest X-rays (CXR) using deep learning presents significant challenges due to the wide variation in lung appearance caused by disease progression and differing X-ray settings. While deep learning models have shown remarkable ...
Lung Diseases Radiography, Thoracic Deep Learning Pneumoconiosis Radiographic Image Interpretation, Computer-Assisted COVID-19 SARS-CoV-2 Lung Humans
View on PubMed DOI

A Physics-Informed Deep Neural Network for Harmonization of CT Images.

IEEE transactions on bio-medical engineering Nov 21, 2024
OBJECTIVE: Computed Tomography (CT) quantification is affected by the variability in image acquisition and rendition. This paper aimed to reduce this variability by harmonizing the images utilizing physics-based deep neural networks (DNNs).
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Lung Diseases Tomography, X-Ray Computed Phantoms, Imaging Lung Deep Learning
View on PubMed DOI

A systematic review on feature extraction methods and deep learning models for detection of cancerous lung nodules at an early stage -the recent trends and challenges.

Biomedical physics & engineering express Nov 20, 2024
Lung cancer is one of the most common life-threatening worldwide cancers affecting both the male and the female populations. The appearance of nodules in the scan image is an early indication of the development of cancer cells in the lung. The Low Do...
Lung Neoplasms Early Detection of Cancer Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Deep Learning Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Lung
View on PubMed DOI

Identification and validation of biomarkers related to mitochondria during ex vivo lung perfusion for lung transplants based on machine learning algorithm.

Gene Nov 15, 2024
BACKGROUND: Ex vivo lung perfusion (EVLP) is a critical strategy to rehabilitate marginal donor lungs, thereby increasing lung transplantation (LTx) rates. Ischemia-reperfusion (I/R) injury inevitably occurs during LTx. Exploring the common mechanism...
Humans Machine Learning Male Lung Gene Expression Profiling Protein Interaction Maps Algorithms Biomarkers Animals Mitochondria Lung Transplantation Perfusion Mice Mice, Inbred C57BL Reperfusion Injury
View on PubMed DOI

BreathVisionNet: A pulmonary-function-guided CNN-transformer hybrid model for expiratory CT image synthesis.

Computer methods and programs in biomedicine Nov 14, 2024
BACKGROUND AND OBJECTIVE: Chronic obstructive pulmonary disease (COPD) has high heterogeneity in etiologies and clinical manifestations. Expiratory Computed tomography (CT) can effectively assess air trapping, aiding in disease diagnosis. However, du...
Exhalation Lung Image Processing, Computer-Assisted Respiratory Function Tests Humans Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Neural Networks, Computer Algorithms
View on PubMed DOI

Enhancing multiclass COVID-19 prediction with ESN-MDFS: Extreme smart network using mean dropout feature selection technique.

PloS one Nov 12, 2024
Deep learning and artificial intelligence offer promising tools for improving the accuracy and efficiency of diagnosing various lung conditions using portable chest x-rays (CXRs). This study explores this potential by leveraging a large dataset conta...
Radiography, Thoracic Humans SARS-CoV-2 Neural Networks, Computer Lung Artificial Intelligence Deep Learning COVID-19
View on PubMed DOI
Popular Topics
Recent Journals