AIMC Topic:
Image Interpretation, Computer-Assisted

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Correlation-Aware Sparse and Low-Rank Constrained Multi-Task Learning for Longitudinal Analysis of Alzheimer's Disease.

IEEE journal of biomedical and health informatics Dec 6, 2018
Alzheimer's disease (AD), as a severe neurodegenerative disease, is now attracting more and more researchers' attention in the healthcare. With the development of magnetic resonance imaging (MRI), the neuroimaging-based longitudinal analysis is gradu...
Aged, 80 and over Algorithms Humans Male Machine Learning Female Alzheimer Disease Aged Image Interpretation, Computer-Assisted Neuroimaging
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Weakly Supervised Lesion Detection From Fundus Images.

IEEE transactions on medical imaging Dec 6, 2018
Early diagnosis and continuous monitoring of patients suffering from eye diseases have been major concerns in the computer-aided detection techniques. Detecting one or several specific types of retinal lesions has made a significant breakthrough in c...
Humans Algorithms Image Interpretation, Computer-Assisted Retinal Diseases Diagnostic Techniques, Ophthalmological Fundus Oculi Normal Distribution Retina Supervised Machine Learning
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Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT.

IEEE journal of biomedical and health informatics Dec 5, 2018
BACKGROUND: Deep learning has been recently applied to a multitude of computer vision and medical image analysis problems. Although recent research efforts have improved the state of the art, most of the methods cannot be easily accessed, compared or...
Cloud Computing Humans Deep Learning Diagnostic Imaging Algorithms Image Interpretation, Computer-Assisted
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Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques.

Computers in biology and medicine Dec 5, 2018
BACKGROUND AND OBJECTIVE: Glaucoma is a ocular disorder which causes irreversible damage to the retinal nerve fibers. The diagnosis of glaucoma is important as it may help to slow down the progression. The available clinical methods and imaging techn...
Humans Glaucoma Support Vector Machine Fundus Oculi Image Interpretation, Computer-Assisted
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Is Intensity Inhomogeneity Correction Useful for Classification of Breast Cancer in Sonograms Using Deep Neural Network?

Journal of healthcare engineering Dec 4, 2018
The sonogram is currently an effective cancer screening and diagnosis way due to the convenience and harmlessness in humans. Traditionally, lesion boundary segmentation is first adopted and then classification is conducted, to reach the judgment of b...
Breast Breast Neoplasms Humans Image Interpretation, Computer-Assisted Algorithms Deep Learning Female Ultrasonography, Mammary
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Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening.

PLoS computational biology Nov 30, 2018
Toxicity is an important factor in failed drug development, and its efficient identification and prediction is a major challenge in drug discovery. We have explored the potential of microscopy images of fluorescently labeled nuclei for the prediction...
Automation Cell Nucleus Fluorescent Dyes Neural Networks, Computer Indoles Drug-Related Side Effects and Adverse Reactions Algorithms Image Interpretation, Computer-Assisted Deep Learning
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Automated ASPECTS on Noncontrast CT Scans in Patients with Acute Ischemic Stroke Using Machine Learning.

AJNR. American journal of neuroradiology Nov 29, 2018
BACKGROUND AND PURPOSE: Alberta Stroke Program Early CT Score (ASPECTS) was devised as a systematic method to assess the extent of early ischemic change on noncontrast CT (NCCT) in patients with acute ischemic stroke (AIS). Our aim was to automate AS...
Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged Stroke Machine Learning Tomography, X-Ray Computed Female Humans Brain Ischemia Alberta Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Neuroimaging
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The RSNA Pediatric Bone Age Machine Learning Challenge.

Radiology Nov 27, 2018
Purpose The Radiological Society of North America (RSNA) Pediatric Bone Age Machine Learning Challenge was created to show an application of machine learning (ML) and artificial intelligence (AI) in medical imaging, promote collaboration to catalyze ...
Male Child Radiography Algorithms Databases, Factual Female Image Interpretation, Computer-Assisted Age Determination by Skeleton Hand Bones Humans Machine Learning
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Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

PLoS medicine Nov 27, 2018
BACKGROUND: Magnetic resonance imaging (MRI) of the knee is the preferred method for diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject to diagnostic error and variability. An automated system for interpreting...
Automation Tibial Meniscus Injuries Anterior Cruciate Ligament Injuries Knee Magnetic Resonance Imaging Middle Aged Predictive Value of Tests Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Deep Learning Databases, Factual Adult Humans Retrospective Studies Male Female Reproducibility of Results Young Adult
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A deep learning model for the detection of both advanced and early glaucoma using fundus photography.

PloS one Nov 27, 2018
PURPOSE: To build a deep learning model to diagnose glaucoma using fundus photography.
Fundus Oculi Humans Image Interpretation, Computer-Assisted Glaucoma Diagnostic Techniques, Ophthalmological Deep Learning Cross-Sectional Studies ROC Curve Disease Progression Logistic Models
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