AIMC Topic: Thorax

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Deep Learning Models to Predict Fatal Pneumonia Using Chest X-Ray Images.

Canadian respiratory journal Nov 24, 2022
BACKGROUND AND AIMS: Chest X-ray (CXR) is indispensable to the assessment of severity, diagnosis, and management of pneumonia. Deep learning is an artificial intelligence (AI) technology that has been applied to the interpretation of medical images. ...
Deep Learning Humans Pneumonia Artificial Intelligence Thorax X-Rays
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Deep Learning-based calculation of patient size and attenuation surrogates from localizer Image: Toward personalized chest CT protocol optimization.

European journal of radiology Nov 11, 2022
PURPOSE: Extracting water equivalent diameter (DW), as a good descriptor of patient size, from the CT localizer before the spiral scan not only minimizes truncation errors due to the limited scan field-of-view but also enables prior size-specific dos...
Aged Adult Tomography, X-Ray Computed Female Humans Deep Learning Algorithms Calibration Male Thorax Middle Aged
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Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese.

PloS one Oct 31, 2022
Deep learning, in recent times, has made remarkable strides when it comes to impressive performance for many tasks, including medical image processing. One of the contributing factors to these advancements is the emergence of large medical image data...
Radiography, Thoracic Humans Thorax Deep Learning Radiology Asian People
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Prediction of disorders with significant coronary lesions using machine learning in patients admitted with chest symptom.

PloS one Oct 10, 2022
BACKGROUND: The early prediction of significant coronary artery lesion, including coronary vasospasm, have yet to be studied. It is essential to discern the disorders with significant coronary lesions (SCDs) requiring coronary angiography from mimick...
Thorax Emergency Service, Hospital Humans Coronary Angiography Machine Learning Acute Coronary Syndrome
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GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images.

IEEE journal of biomedical and health informatics Oct 4, 2022
Locating diseases in chest X-ray images with few careful annotations saves large human effort. Recent works approached this task with innovative weakly-supervised algorithms such as multi-instance learning (MIL) and class activation maps (CAM), howev...
Thorax X-Rays Neural Networks, Computer Algorithms Humans
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Automatic lung tumor segmentation from CT images using improved 3D densely connected UNet.

Medical & biological engineering & computing Sep 28, 2022
Accurate lung tumor segmentation has great significance in the treatment planning of lung cancer. However, robust lung tumor segmentation becomes challenging due to the heterogeneity of tumors and the similar visual characteristics between tumors and...
Humans Algorithms Thorax Image Processing, Computer-Assisted Lung Neoplasms Tomography, X-Ray Computed Deep Learning
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ASO Author Reflections: The Clinical Use of Radiomics with Artificial Intelligence in Patients with Early-Stage Lung Cancer.

Annals of surgical oncology Sep 13, 2022
Thorax Humans Lung Artificial Intelligence Lung Neoplasms
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Deep learning multi-organ segmentation for whole mouse cryo-images including a comparison of 2D and 3D deep networks.

Scientific reports Sep 7, 2022
Cryo-imaging provided 3D whole-mouse microscopic color anatomy and fluorescence images that enables biotechnology applications (e.g., stem cells and metastatic cancer). In this report, we compared three methods of organ segmentation: 2D U-Net with 2D...
Thorax Deep Learning Mice Abdomen Observer Variation Tomography, X-Ray Computed Animals Humans
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A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 5, 2022
INTRODUCTION: This study aims to apply a conditional Generative Adversarial Network (cGAN) to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance (MR) images of the thorax.
Tomography, X-Ray Computed Lung Humans Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Thorax Deep Learning Magnetic Resonance Imaging Radiotherapy, Image-Guided
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CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images.

Artificial intelligence in medicine Aug 27, 2022
Chest X-ray (CXR) imaging is one of the most common diagnostic imaging techniques in clinical diagnosis and is usually used for radiological examinations to screen for thorax diseases. In this paper, we propose a novel computer-aided diagnosis (CAD) ...
Thorax X-Rays Diagnosis, Computer-Assisted Deep Learning Neural Networks, Computer
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