AIMC Topic: Diagnostic Imaging

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MedFuseNet: An attention-based multimodal deep learning model for visual question answering in the medical domain.

Scientific reports Oct 6, 2021
Medical images are difficult to comprehend for a person without expertise. The scarcity of medical practitioners across the globe often face the issue of physical and mental fatigue due to the high number of cases, inducing human errors during the di...
Deep Learning User-Computer Interface Software Algorithms Attention Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Diagnostic Imaging Humans
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Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging.

IEEE transactions on medical imaging Sep 30, 2021
Radiography Diagnostic Imaging Deep Learning
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Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging.

Nature communications Sep 28, 2021
Medical imaging is a central part of clinical diagnosis and treatment guidance. Machine learning has increasingly gained relevance because it captures features of disease and treatment response that are relevant for therapeutic decision-making. In cl...
Lung Diagnostic Imaging Memory Tomography, X-Ray Computed Learning Machine Learning Humans Neural Networks, Computer
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Image learning to accurately identify complex mixture components.

The Analyst Sep 27, 2021
The study of complex mixtures is very important for exploring the evolution of natural phenomena, but the complexity of the mixtures greatly increases the difficulty of material information extraction. Image perception-based machine-learning techniqu...
Image Processing, Computer-Assisted Diagnostic Imaging Neural Networks, Computer Machine Learning Complex Mixtures
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Artificial Intelligence for Pigment Classification Task in the Short-Wave Infrared Range.

Sensors (Basel, Switzerland) Sep 13, 2021
Hyperspectral reflectance imaging in the short-wave infrared range (SWIR, "extended NIR", ca. 1000 to 2500 nm) has proven to provide enhanced characterization of paint materials. However, the interpretation of the results remains challenging due to t...
Pigmentation Radio Waves Artificial Intelligence Diagnostic Imaging Neural Networks, Computer
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Introduction to the artificial intelligence in pediatric radiology imaging special issue.

Pediatric radiology Sep 8, 2021
Child Humans Diagnostic Imaging Artificial Intelligence Radiology
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Health Evaluation and Fault Diagnosis of Medical Imaging Equipment Based on Neural Network Algorithm.

Computational intelligence and neuroscience Sep 4, 2021
In recent years, high-precision medical equipment, especially large-scale medical imaging equipment, is usually composed of circuit, water, light, and other structures. Its structure is cumbersome and complex, so it is difficult to detect and diagnos...
Least-Squares Analysis Algorithms Neural Networks, Computer Diagnostic Imaging
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Notable Papers and New Directions in Sensors, Signals, and Imaging Informatics.

Yearbook of medical informatics Sep 3, 2021
OBJECTIVE: To identify and highlight research papers representing noteworthy developments in signals, sensors, and imaging informatics in 2020.
Diagnostic Imaging Electroencephalography Medical Informatics Humans Reproducibility of Results Biometry Neural Networks, Computer Machine Learning
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Foundational Considerations for Artificial Intelligence Using Ophthalmic Images.

Ophthalmology Aug 31, 2021
IMPORTANCE: The development of artificial intelligence (AI) and other machine diagnostic systems, also known as software as a medical device, and its recent introduction into clinical practice requires a deeply rooted foundation in bioethics for cons...
Translational Research, Biomedical Eye Diseases Optical Imaging Bioethics Diagnostic Imaging Humans Software Artificial Intelligence
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Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks.

IEEE transactions on medical imaging Aug 31, 2021
A variety of deep neural network (DNN)-based image denoising methods have been proposed for use with medical images. Traditional measures of image quality (IQ) have been employed to optimize and evaluate these methods. However, the objective evaluati...
Neural Networks, Computer Task Performance and Analysis Image Processing, Computer-Assisted Diagnostic Imaging
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