AIMC Topic:
Image Interpretation, Computer-Assisted

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Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises.

IEEE transactions on pattern analysis and machine intelligence Jan 17, 2018
Discriminative methods commonly produce models with relatively good generalization abilities. However, this advantage is challenged in real-world applications (e.g., medical image analysis problems), in which there often exist outlier data points (sa...
Humans Algorithms Databases, Factual Brain ROC Curve Supervised Machine Learning Discriminant Analysis Image Interpretation, Computer-Assisted Neurodegenerative Diseases Neuroimaging
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ν-net: Deep Learning for Generalized Biventricular Mass and Function Parameters Using Multicenter Cardiac MRI Data.

JACC. Cardiovascular imaging Jan 17, 2018
Humans Ventricular Function, Left Deep Learning Magnetic Resonance Imaging Predictive Value of Tests Heart Diseases Image Interpretation, Computer-Assisted Automation Ventricular Function, Right
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Characterization of Adrenal Lesions on Unenhanced MRI Using Texture Analysis: A Machine-Learning Approach.

Journal of magnetic resonance imaging : JMRI Jan 17, 2018
BACKGROUND: Adrenal adenomas (AA) are the most common benign adrenal lesions, often characterized based on intralesional fat content as either lipid-rich (LRA) or lipid-poor (LPA). The differentiation of AA, particularly LPA, from nonadenoma adrenal ...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Adrenal Glands Magnetic Resonance Imaging Female Lipids Reproducibility of Results Adenoma Aged Adrenal Gland Neoplasms Young Adult Adolescent Adult Male Image Processing, Computer-Assisted Middle Aged Contrast Media Humans Machine Learning Algorithms Retrospective Studies
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Fully automatic cervical vertebrae segmentation framework for X-ray images.

Computer methods and programs in biomedicine Jan 12, 2018
The cervical spine is a highly flexible anatomy and therefore vulnerable to injuries. Unfortunately, a large number of injuries in lateral cervical X-ray images remain undiagnosed due to human errors. Computer-aided injury detection has the potential...
Automation Radiography Cervical Vertebrae Probability Image Interpretation, Computer-Assisted Neural Networks, Computer Humans Algorithms Diagnostic Errors
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Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study.

The British journal of radiology Jan 10, 2018
OBJECTIVE: To train a generic deep learning software (DLS) to classify breast cancer on ultrasound images and to compare its performance to human readers with variable breast imaging experience.
Aged Aged, 80 and over Adult Breast Neoplasms Algorithms Retrospective Studies Female Middle Aged Clinical Competence Adolescent Switzerland Humans Ultrasonography, Mammary Machine Learning Image Interpretation, Computer-Assisted Software Observer Variation
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A wrapped multi-label classifier for the automatic diagnosis and prognosis of Alzheimer's disease.

Journal of neuroscience methods Jan 9, 2018
BACKGROUND: AD is the most frequent neurodegenerative disease, severely impacting our society. Early diagnosis and prognosis are challenging tasks in the management of AD patients.
Alzheimer Disease Image Interpretation, Computer-Assisted Pattern Recognition, Automated Female Male Magnetic Resonance Imaging Humans Machine Learning Brain Prognosis
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Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction.

Radiology Jan 8, 2018
The use of artificial intelligence in medicine is currently an issue of great interest, especially with regard to the diagnostic or predictive analysis of medical images. Adoption of an artificial intelligence tool in clinical practice requires caref...
Humans Data Interpretation, Statistical Diagnostic Imaging Technology Assessment, Biomedical Image Interpretation, Computer-Assisted Neural Networks, Computer Artificial Intelligence Predictive Value of Tests Terminology as Topic
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Machine-learning neuroimaging challenge for automated diagnosis of mild cognitive impairment: Lessons learnt.

Journal of neuroscience methods Jan 2, 2018
Alzheimer Disease Databases, Factual Image Interpretation, Computer-Assisted Brain Humans Neuroimaging Pattern Recognition, Automated Disease Progression Machine Learning Cognitive Dysfunction
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Deep Learning in Radiology: Now the Real Work Begins.

Journal of the American College of Radiology : JACR Dec 29, 2017
Magnetic Resonance Imaging Radiology Image Interpretation, Computer-Assisted Humans Algorithms Tomography, X-Ray Computed Deep Learning User-Computer Interface
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Deep learning reveals Alzheimer's disease onset in MCI subjects: Results from an international challenge.

Journal of neuroscience methods Dec 26, 2017
BACKGROUND: Early diagnosis of Alzheimer's disease (AD) and its onset in subjects affected by mild cognitive impairment (MCI) based on structural MRI features is one of the most important open issues in neuroimaging. Accordingly, a scientific challen...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Deep Learning Cognitive Dysfunction Humans Brain Magnetic Resonance Imaging Disease Progression Alzheimer Disease
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