AIMC Topic: Diagnostic Imaging

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DeepBacs for multi-task bacterial image analysis using open-source deep learning approaches.

Communications biology Jul 9, 2022
This work demonstrates and guides how to use a range of state-of-the-art artificial neural-networks to analyse bacterial microscopy images using the recently developed ZeroCostDL4Mic platform. We generated a database of image datasets used to train n...
Diagnostic Imaging Neural Networks, Computer Anti-Bacterial Agents Deep Learning Image Processing, Computer-Assisted
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[Artificial intelligence and hyperspectral imaging for image-guided assistance in minimally invasive surgery].

Chirurgie (Heidelberg, Germany) Jul 7, 2022
BACKGROUND: Intraoperative imaging assists surgeons during minimally invasive procedures. Hyperspectral imaging (HSI) is a noninvasive and noncontact optical technique with great diagnostic potential in medicine. The combination with artificial intel...
Algorithms Diagnostic Imaging Artificial Intelligence Hyperspectral Imaging Minimally Invasive Surgical Procedures
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Double-branch U-Net for multi-scale organ segmentation.

Methods (San Diego, Calif.) Jul 6, 2022
U-Net has achieved great success in the task of medical image segmentation. It encodes and extracts information from several convolution blocks, and then decodes the feature maps to get the segmentation results. Our experiments show that in a multi-s...
Neural Networks, Computer Image Processing, Computer-Assisted Diagnostic Imaging
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Deep learning in veterinary medicine, an approach based on CNN to detect pulmonary abnormalities from lateral thoracic radiographs in cats.

Scientific reports Jul 6, 2022
Thoracic radiograph (TR) is a complementary exam widely used in small animal medicine which requires a sharp analysis to take full advantage of Radiographic Pulmonary Pattern (RPP). Although promising advances have been made in deep learning for vete...
Cats Diagnostic Imaging Animals Deep Learning Predictive Value of Tests Radiography Neural Networks, Computer
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A Modified Deep Learning Framework for Arrhythmia Disease Analysis in Medical Imaging Using Electrocardiogram Signal.

BioMed research international Jul 4, 2022
Arrhythmias are anomalies in the heartbeat rhythm that occur occasionally in people's lives. These arrhythmias can lead to potentially deadly consequences, putting your life in jeopardy. As a result, arrhythmia identification and classification are a...
Deep Learning Arrhythmias, Cardiac Electrocardiography Humans Heart Rate Databases, Factual Diagnostic Imaging Neural Networks, Computer Signal Processing, Computer-Assisted Algorithms
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Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks.

European radiology experimental Jul 1, 2022
A huge amount of imaging data is becoming available worldwide and an incredible range of possible improvements can be provided by artificial intelligence algorithms in clinical care for diagnosis and decision support. In this context, it has become e...
Artificial Intelligence Biological Specimen Banks Metadata Algorithms Diagnostic Imaging
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Maintenance and Management Technology of Medical Imaging Equipment Based on Deep Learning.

Contrast media & molecular imaging Jul 1, 2022
Medical equipment maintenance in modern hospital management is an emerging marginal discipline which is one of the important branches of hospital management with the dual function of management and technology. The good or bad management of medical eq...
Diagnostic Imaging Technology Software Deep Learning
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Biomedical Microscopic Imaging in Computational Intelligence Using Deep Learning Ensemble Convolution Learning-Based Feature Extraction and Classification.

Computational intelligence and neuroscience Jun 27, 2022
Microscopy image analysis gives quantitative support for enhancing the characterizations of various diseases, including breast cancer, lung cancer, and brain tumors. As a result, it is crucial in computer-assisted diagnosis and prognosis. Understandi...
Deep Learning Image Processing, Computer-Assisted Diagnostic Imaging Neural Networks, Computer Humans Diagnosis, Computer-Assisted
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Current challenges of implementing artificial intelligence in medical imaging.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jun 14, 2022
The idea of using artificial intelligence (AI) in medical practice has gained vast interest due to its potential to revolutionise healthcare systems. However, only some AI algorithms are utilised due to systems' uncertainties, besides the never-endin...
Humans Diagnostic Imaging Radiology Algorithms Radiography Artificial Intelligence
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Deep learning for improving the spatial resolution of magnetic particle imaging.

Physics in medicine and biology Jun 10, 2022
Magnetic particle imaging (MPI) is a new medical, non-destructive, imaging method for visualizing the spatial distribution of superparamagnetic iron oxide nanoparticles. In MPI, spatial resolution is an important indicator of efficiency; traditional ...
Magnetic Phenomena Phantoms, Imaging Magnetite Nanoparticles Deep Learning Diagnostic Imaging
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