AIMC Topic: Diagnostic Imaging

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Emerging Artificial Intelligence Imaging Applications for Stroke Interventions.

AJNR. American journal of neuroradiology Dec 31, 2020
Stroke Artificial Intelligence Diagnostic Imaging Humans
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Medical Image Retrieval Using Empirical Mode Decomposition with Deep Convolutional Neural Network.

BioMed research international Dec 26, 2020
Content-based medical image retrieval (CBMIR) systems attempt to search medical image database to narrow the semantic gap in medical image analysis. The efficacy of high-level medical information representation using features is a major challenge in ...
Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Databases, Factual Deep Learning Reproducibility of Results Algorithms Diagnostic Imaging Information Storage and Retrieval
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Knowledge transfer between brain lesion segmentation tasks with increased model capacity.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 25, 2020
Convolutional neural networks (CNNs) have become an increasingly popular tool for brain lesion segmentation in recent years due to its accuracy and efficiency. However, CNN-based brain lesion segmentation generally requires a large amount of annotate...
Brain Humans Brain Neoplasms Neural Networks, Computer Diagnostic Imaging Image Processing, Computer-Assisted
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Diagnostic Accuracy of Machine Learning-Based Radiomics in Grading Gliomas: Systematic Review and Meta-Analysis.

Contrast media & molecular imaging Dec 18, 2020
PURPOSE: This study aimed to estimate the diagnostic accuracy of machine learning- (ML-) based radiomics in differentiating high-grade gliomas (HGG) from low-grade gliomas (LGG) and to identify potential covariates that could affect the diagnostic ac...
Glioma Brain Neoplasms Humans Diagnostic Imaging Image Processing, Computer-Assisted Machine Learning Neoplasm Grading
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A review on medical imaging synthesis using deep learning and its clinical applications.

Journal of applied clinical medical physics Dec 11, 2020
This paper reviewed the deep learning-based studies for medical imaging synthesis and its clinical application. Specifically, we summarized the recent developments of deep learning-based methods in inter- and intra-modality image synthesis by listing...
Humans Image Processing, Computer-Assisted Radiography Diagnostic Imaging Research Design Deep Learning
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IoMT-Based Automated Detection and Classification of Leukemia Using Deep Learning.

Journal of healthcare engineering Dec 3, 2020
For the last few years, computer-aided diagnosis (CAD) has been increasing rapidly. Numerous machine learning algorithms have been developed to identify different diseases, e.g., leukemia. Leukemia is a white blood cells- (WBC-) related illness affec...
Databases, Factual Leukemia, Lymphocytic, Chronic, B-Cell Diagnosis, Computer-Assisted Deep Learning Leukemia, Myeloid, Acute Precursor Cell Lymphoblastic Leukemia-Lymphoma COVID-19 Internet of Things Cloud Computing Diagnostic Imaging Algorithms Pattern Recognition, Automated Leukemia Neural Networks, Computer Leukemia, Myelogenous, Chronic, BCR-ABL Positive Machine Learning Humans Telemedicine
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The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis.

Computers in biology and medicine Nov 21, 2020
Recently, deep learning frameworks have rapidly become the main methodology for analyzing medical images. Due to their powerful learning ability and advantages in dealing with complex patterns, deep learning algorithms are ideal for image analysis ch...
Image Processing, Computer-Assisted Diagnostic Imaging Machine Learning Deep Learning Neural Networks, Computer
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Enforcing Quality in Strain Imaging Through AI-Powered Surveillance.

JACC. Cardiovascular imaging Nov 18, 2020
Diagnostic Imaging Physical Examination Humans Artificial Intelligence Machine Learning Predictive Value of Tests
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Potential use of deep learning techniques for postmortem imaging-moving beyond postmortem radiology.

Forensic science, medicine, and pathology Nov 11, 2020
Deep Learning Radiography Diagnostic Imaging Humans Radiology Autopsy
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Artificial intelligence: from challenges to clinical implementation.

Diagnostic and interventional imaging Nov 10, 2020
Humans Artificial Intelligence Diagnostic Imaging
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