AIMC Topic: Diagnostic Imaging

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A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Medical ionizing radiation procedures and especially medical imaging are a non negligible source of exposure to patients. Whereas the biological effects of high absorbed doses are relatively well known, the effects of low absorbed doses are still deb...
Radiation Dosage Radiometry Semantics Natural Language Processing Terminology as Topic Radiography Algorithms Data Mining Database Management Systems Diagnostic Imaging Databases, Factual Documentation Humans Machine Learning
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RadLex Normalization in Radiology Reports.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Radiology reports have been widely used for extraction of various clinically significant information about patients' imaging studies. However, limited research has focused on standardizing the entities to a common radiology-specific vocabulary. Furth...
Vocabulary, Controlled Deep Learning Natural Language Processing Unified Medical Language System Humans Diagnostic Imaging Radiology Radiology Information Systems Documentation
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Batch Similarity Based Triplet Loss Assembled into Light-Weighted Convolutional Neural Networks for Medical Image Classification.

Sensors (Basel, Switzerland) Jan 24, 2021
In many medical image classification tasks, there is insufficient image data for deep convolutional neural networks (CNNs) to overcome the over-fitting problem. The light-weighted CNNs are easy to train but they usually have relatively poor classific...
Neural Networks, Computer Diagnostic Imaging Sensitivity and Specificity
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Medical Image Analysis Using AM-FM Models and Methods.

IEEE reviews in biomedical engineering Jan 22, 2021
Medical image analysis methods require the use of effective representations for differentiating between lesions, diseased regions, and normal structure. Amplitude Modulation-Frequency Modulation (AM-FM) models provide effective representations throug...
Humans Diagnostic Imaging Neural Networks, Computer Machine Learning Signal Processing, Computer-Assisted Algorithms Image Interpretation, Computer-Assisted
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Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 21, 2021
Instance segmentation is an important task for biomedical and biological image analysis. Due to the complicated background components, the high variability of object appearances, numerous overlapping objects, and ambiguous object boundaries, this tas...
Semantics Neural Networks, Computer Algorithms Diagnostic Imaging Humans Plants Image Processing, Computer-Assisted
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Diagnostic Imaging and Mechanical Objectivity in Medicine.

Academic radiology Jan 20, 2021
BACKGROUND: Before the advent of automatism in image-making practices, scientists, anatomists, and physicians artistically depicted simplified images for scientific atlas making. This technique conferred subjectivity to a supposedly objective scienti...
Humans Diagnostic Imaging Artificial Intelligence Data Collection Bibliometrics
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Promises and perils of artificial intelligence in dentistry.

Australian dental journal Jan 17, 2021
Artificial intelligence (AI) is a subdiscipline of computer science that has made substantial progress in medicine and there is a growing body of AI research in dentistry. Dentists should have an understanding of the foundational concepts and the abi...
Dentistry Forecasting Diagnostic Imaging Humans Artificial Intelligence
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Five principles for the intelligent use of AI in medical imaging.

Intensive care medicine Jan 15, 2021
Diagnostic Imaging Intelligence Artificial Intelligence Radiography Humans
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Universal adversarial attacks on deep neural networks for medical image classification.

BMC medical imaging Jan 7, 2021
BACKGROUND: Deep neural networks (DNNs) are widely investigated in medical image classification to achieve automated support for clinical diagnosis. It is necessary to evaluate the robustness of medical DNN tasks against adversarial attacks, as high-...
Diagnostic Imaging Tomography, Optical Coherence Skin Neoplasms Pneumonia Photography Image Interpretation, Computer-Assisted Radiography, Thoracic Diabetic Retinopathy Neural Networks, Computer Humans
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DeepCell Kiosk: scaling deep learning-enabled cellular image analysis with Kubernetes.

Nature methods Jan 4, 2021
Deep learning is transforming the analysis of biological images, but applying these models to large datasets remains challenging. Here we describe the DeepCell Kiosk, cloud-native software that dynamically scales deep learning workflows to accommodat...
Humans Software Workflow Image Processing, Computer-Assisted Cloud Computing Algorithms Diagnostic Imaging Cell Nucleus Deep Learning
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