AIMC Topic: Image Interpretation, Computer-Assisted

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Sex Differences of Brain Functional Topography Revealed in Normal Aging and Alzheimer's Disease Cohort.

Journal of Alzheimer's disease : JAD Jan 1, 2021
We applied graph theory analysis on resting-state functional magnetic resonance imaging data to evaluate sex differences of brain functional topography in normal controls (NCs), early mild cognitive impairment (eMCI), and AD patients. These metrics w...
Nerve Net Healthy Aging Sex Characteristics Alzheimer Disease Image Interpretation, Computer-Assisted Female Aged Male Cognitive Dysfunction Cohort Studies Magnetic Resonance Imaging Humans Neural Networks, Computer Brain
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Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.

The Lancet. Oncology Jan 1, 2021
BACKGROUND: Detecting microsatellite instability (MSI) in colorectal cancer is crucial for clinical decision making, as it identifies patients with differential treatment response and prognosis. Universal MSI testing is recommended, but many patients...
Coloring Agents Microscopy Image Interpretation, Computer-Assisted Staining and Labeling Predictive Value of Tests Microsatellite Instability Eosine Yellowish-(YS) Hematoxylin Phenotype Reproducibility of Results Colorectal Neoplasms Diagnosis, Computer-Assisted Deep Learning Genetic Predisposition to Disease Humans
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Improved SSD network for accurate detection of optic disc and fovea and application in excyclotropia screening.

Journal of the Optical Society of America. A, Optics, image science, and vision Jan 1, 2021
The detection of the optic disc (OD) and fovea is essential to many automatic diagnosis systems for retinal diseases. The single shot multibox detector (SSD) can generate predictions from feature maps of various resolutions, which has not been introd...
Neural Networks, Computer Algorithms Databases, Factual Humans Exotropia Optic Disk Pattern Recognition, Automated Fovea Centralis Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted
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Applications of Artificial Intelligence in Breast Imaging.

Radiologic clinics of North America Jan 1, 2021
Artificial intelligence (AI) technology shows promise in breast imaging to improve both interpretive and noninterpretive tasks. AI-based screening triage may help identify normal examinations and AI-based computer-aided detection (AI-CAD) may increas...
Breast Humans Female Image Interpretation, Computer-Assisted Artificial Intelligence Breast Neoplasms Mammography
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Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease.

Neuroinformatics Jan 1, 2021
Diffusion MRI is the modality of choice to study alterations of white matter. In past years, various works have used diffusion MRI for automatic classification of Alzheimer's disease. However, classification performance obtained with different approa...
Machine Learning Brain Female Humans Alzheimer Disease Image Interpretation, Computer-Assisted Aged Diffusion Magnetic Resonance Imaging Aged, 80 and over Male
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Explainable Deep Learning Reproduces a 'Professional Eye' on the Diagnosis of Internal Disorders in Persimmon Fruit.

Plant & cell physiology Dec 23, 2020
Recent rapid progress in deep neural network techniques has allowed recognition and classification of various objects, often exceeding the performance of the human eye. In plant biology and crop sciences, some deep neural network frameworks have been...
Fruit Image Interpretation, Computer-Assisted Flowers Plant Diseases Diospyros Neural Networks, Computer Deep Learning
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Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations.

Medicine Dec 11, 2020
Deep learning algorithms have shown excellent performances in the field of medical image recognition, and practical applications have been made in several medical domains. Little is known about the feasibility and impact of an undetectable adversaria...
Datasets as Topic Skin Humans Skin Diseases Neural Networks, Computer Image Interpretation, Computer-Assisted Algorithms Diagnostic Errors Reproducibility of Results Deep Learning Risk Factors Models, Statistical Sensitivity and Specificity
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CORR Insights®: Does Artificial Intelligence Outperform Natural Intelligence in Interpretation of Musculoskeletal Radiological Studies? A Systematic Review.

Clinical orthopaedics and related research Dec 1, 2020
Humans Artificial Intelligence Intelligence Image Interpretation, Computer-Assisted
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High space-bandwidth in quantitative phase imaging using partially spatially coherent digital holographic microscopy and a deep neural network.

Optics express Nov 23, 2020
Quantitative phase microscopy (QPM) is a label-free technique that enables monitoring of morphological changes at the subcellular level. The performance of the QPM system in terms of spatial sensitivity and resolution depends on the coherence propert...
Holography Microscopy, Phase-Contrast Image Processing, Computer-Assisted Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Erythrocytes Macrophages
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Classification of marine microalgae using low-resolution Mueller matrix images and convolutional neural network.

Applied optics Nov 1, 2020
In this paper, we used a convolutional neural network to study the classification of marine microalgae by using low-resolution Mueller matrix images. Mueller matrix images of 12 species of algae from 5 families were measured by a Mueller matrix micro...
Microalgae Optical Imaging Microscopy, Polarization Neural Networks, Computer Algorithms Light Image Interpretation, Computer-Assisted
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