AIMC Topic: Radiography, Thoracic

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BarlowTwins-CXR: enhancing chest X-ray abnormality localization in heterogeneous data with cross-domain self-supervised learning.

BMC medical informatics and decision making May 16, 2024
BACKGROUND: Chest X-ray imaging based abnormality localization, essential in diagnosing various diseases, faces significant clinical challenges due to complex interpretations and the growing workload of radiologists. While recent advances in deep lea...
Humans Deep Learning Datasets as Topic Radiography, Thoracic Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning
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Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation.

Medical image analysis May 10, 2024
The success of deep learning on image classification and recognition tasks has led to new applications in diverse contexts, including the field of medical imaging. However, two properties of deep neural networks (DNNs) may limit their future use in m...
Lung Deep Learning Neural Networks, Computer Algorithms Radiography, Thoracic Image Processing, Computer-Assisted Heart Humans
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FACNN: fuzzy-based adaptive convolution neural network for classifying COVID-19 in noisy CXR images.

Medical & biological engineering & computing May 7, 2024
COVID-19 detection using chest X-rays (CXR) has evolved as a significant method for early diagnosis of the pandemic disease. Clinical trials and methods utilize X-ray images with computer and intelligent algorithms to improve detection and classifica...
Fuzzy Logic Radiography, Thoracic Humans Algorithms COVID-19 SARS-CoV-2 Neural Networks, Computer
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Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images.

IEEE transactions on medical imaging May 2, 2024
Deep learning (DL)-based rib fracture detection has shown promise of playing an important role in preventing mortality and improving patient outcome. Normally, developing DL-based object detection models requires a huge amount of bounding box annotat...
Humans Algorithms Rib Fractures Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Radiography, Thoracic Tomography, X-Ray Computed Deep Learning
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Attentional decoder networks for chest X-ray image recognition on high-resolution features.

Computer methods and programs in biomedicine Apr 27, 2024
BACKGROUND AND OBJECTIVE: This paper introduces an encoder-decoder-based attentional decoder network to recognize small-size lesions in chest X-ray images. In the encoder-only network, small-size lesions disappear during the down-sampling steps or ar...
Neural Networks, Computer Algorithms Humans Image Processing, Computer-Assisted Radiography, Thoracic
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Classification of the quality of canine and feline ventrodorsal and dorsoventral thoracic radiographs through machine learning.

Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association Apr 26, 2024
Thoracic radiographs are an essential diagnostic tool in companion animal medicine and are frequently used as a part of routine workups in patients presenting for coughing, respiratory distress, cardiovascular diseases, and for staging of neoplasia. ...
Radiography, Thoracic Machine Learning Cats Animals Cat Diseases Dog Diseases Dogs Quality Control
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Language model-based labeling of German thoracic radiology reports.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Apr 25, 2024
The aim of this study was to explore the potential of weak supervision in a deep learning-based label prediction model. The goal was to use this model to extract labels from German free-text thoracic radiology reports on chest X-ray images and for tr...
Humans Deep Learning Natural Language Processing Retrospective Studies Pneumothorax Germany Radiography, Thoracic
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Deep learning model for pleural effusion detection via active learning and pseudo-labeling: a multisite study.

BMC medical imaging Apr 19, 2024
BACKGROUND: The study aimed to develop and validate a deep learning-based Computer Aided Triage (CADt) algorithm for detecting pleural effusion in chest radiographs using an active learning (AL) framework. This is aimed at addressing the critical nee...
Retrospective Studies Pleural Effusion Humans Deep Learning Radiography Radiography, Thoracic
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Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models.

International journal of neural systems Apr 17, 2024
Deep learning technology has been successfully used in Chest X-ray (CXR) images of COVID-19 patients. However, due to the characteristics of COVID-19 pneumonia and X-ray imaging, the deep learning methods still face many challenges, such as lower ima...
Models, Neurological Neurons Radiography, Thoracic Nonlinear Dynamics COVID-19 Deep Learning Humans Neural Networks, Computer
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Influence of deep learning image reconstruction algorithm for reducing radiation dose and image noise compared to iterative reconstruction and filtered back projection for head and chest computed tomography examinations: a systematic review.

F1000Research Apr 15, 2024
BACKGROUND: The most recent advances in Computed Tomography (CT) image reconstruction technology are Deep learning image reconstruction (DLIR) algorithms. Due to drawbacks in Iterative reconstruction (IR) techniques such as negative image texture and...
Thorax Image Processing, Computer-Assisted Head Signal-To-Noise Ratio Radiography, Thoracic Tomography, X-Ray Computed Humans Radiation Dosage Deep Learning Algorithms
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