AIMC Topic: Lung

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Weakly-supervised learning-based pathology detection and localization in 3D chest CT scans.

Medical physics Aug 14, 2024
BACKGROUND: Recent advancements in anomaly detection have paved the way for novel radiological reading assistance tools that support the identification of findings, aimed at saving time. The clinical adoption of such applications requires a low rate ...
Tomography, X-Ray Computed Lung Imaging, Three-Dimensional Humans Supervised Machine Learning Radiography, Thoracic Thorax
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Structured adaptive boosting trees for detection of multicellular aggregates in fluorescence intravital microscopy.

Microvascular research Aug 13, 2024
Fluorescence intravital microscopy captures large data sets of dynamic multicellular interactions within various organs such as the lungs, liver, and brain of living subjects. In medical imaging, edge detection is used to accurately identify and deli...
Intravital Microscopy Cell Aggregation Mice Neutrophils Mice, Inbred C57BL Image Interpretation, Computer-Assisted Blood Platelets Predictive Value of Tests Microscopy, Fluorescence Reproducibility of Results Animals Lung Machine Learning Algorithms
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CMM: A CNN-MLP Model for COVID-19 Lesion Segmentation and Severity Grading.

IEEE/ACM transactions on computational biology and bioinformatics Aug 9, 2024
In this paper, a CNN-MLP model (CMM) is proposed for COVID-19 lesion segmentation and severity grading in CT images. The CMM starts by lung segmentation using UNet, and then segmenting the lesion from the lung region using a multi-scale deep supervis...
Algorithms Tomography, X-Ray Computed Humans SARS-CoV-2 Lung Deep Learning Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted COVID-19 Severity of Illness Index
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Detection of Lungs Tumors in CT Scan Images Using Convolutional Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Current human being's lifestyle has caused / exacerbated many diseases. One of these diseases is cancer, and among all kinds of cancers like, brain pulmonary; lung cancer is fatal. The cancers could be detected early to save lives using Computer Aide...
Neural Networks, Computer Deep Learning Humans Algorithms Lung Neoplasms Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Lung
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A Deep Learning Approach Considering Image Background for Pneumonia Identification Using Explainable AI (XAI).

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Pneumonia mainly refers to lung infections caused by pathogens, such as bacteria and viruses. Currently, deep learning methods have been applied to identify pneumonia. However, the traditional deep learning methods for pneumonia identification take l...
Radiographic Image Interpretation, Computer-Assisted Deep Learning Humans Algorithms Pneumonia Lung
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Integrated CNN and Federated Learning for COVID-19 Detection on Chest X-Ray Images.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Currently, Coronavirus Disease 2019 (COVID-19) is still endangering world health and safety and deep learning (DL) is expected to be the most powerful method for efficient detection of COVID-19. However, patients' privacy concerns prohibit data shari...
Radiography, Thoracic Neural Networks, Computer COVID-19 Algorithms Deep Learning Computational Biology SARS-CoV-2 Lung Humans
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Performance of AI for preoperative CT assessment of lung metastases: Retrospective analysis of 167 patients.

European journal of radiology Aug 3, 2024
OBJECTIVES: To evaluate the performance of artificial intelligence (AI) in the preoperative detection of lung metastases on CT.
Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Lung Neoplasms Male Radiographic Image Interpretation, Computer-Assisted Middle Aged Preoperative Care Lung Female Aged Sensitivity and Specificity
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Effect of Deep Learning Image Reconstruction Algorithms on Radiomic Features of Pulmonary Nodules in Ultra-Low-Dose CT.

Journal of computer assisted tomography Aug 2, 2024
OBJECTIVE: The purpose of this study is to explore the impact of deep learning image reconstruction (DLIR) algorithm on the quantification of radiomic features in ultra-low-dose computed tomography (ULD-CT) compared with adaptive statistical iterativ...
Adult Radiomics Male Middle Aged Female Retrospective Studies Humans Reproducibility of Results Tomography, X-Ray Computed Multiple Pulmonary Nodules Lung Algorithms Aged Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Deep Learning Radiation Dosage Lung Neoplasms
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Shape prior-constrained deep learning network for medical image segmentation.

Computers in biology and medicine Jul 29, 2024
We propose a shape prior representation-constrained multi-scale features fusion segmentation network for medical image segmentation, including training and testing stages. The novelty of our training framework lies in two modules comprised of the sha...
Databases, Factual Lung Humans Tomography, X-Ray Computed Deep Learning Neural Networks, Computer Liver SARS-CoV-2 Image Processing, Computer-Assisted COVID-19
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Machine learning for accurate detection of small airway dysfunction-related respiratory changes: an observational study.

Respiratory research Jul 24, 2024
BACKGROUND: The use of machine learning(ML) methods would improve the diagnosis of small airway dysfunction(SAD) in subjects with chronic respiratory symptoms and preserved pulmonary function(PPF). This paper evaluated the performance of several ML a...
Aged Spirometry Machine Learning Middle Aged Adult Oscillometry Humans Female Lung Male Support Vector Machine
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