AIMC Topic:
Image Interpretation, Computer-Assisted

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Data augmentation in dermatology image recognition using machine learning.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) May 29, 2019
BACKGROUND: Each year in the United States, over 80 million people are affected by acne, atopic dermatitis, rosacea, psoriasis, and impetigo. Artificial intelligence and machine learning could prove to be a good tool for assisting in the diagnosis of...
Skin Skin Diseases Image Interpretation, Computer-Assisted Humans Databases, Factual Deep Learning
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Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation.

Medical image analysis May 25, 2019
Population imaging studies generate data for developing and implementing personalised health strategies to prevent, or more effectively treat disease. Large prospective epidemiological studies acquire imaging for pre-symptomatic populations. These st...
Magnetic Resonance Imaging, Cine Biological Specimen Banks Male Humans Image Interpretation, Computer-Assisted Imaging, Three-Dimensional United Kingdom Neural Networks, Computer Models, Statistical Female Heart Ventricles Pattern Recognition, Automated
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Point Shear Wave Elastography Using Machine Learning to Differentiate Renal Cell Carcinoma and Angiomyolipoma.

Ultrasound in medicine & biology May 25, 2019
The question of whether ultrasound point shear wave elastography can differentiate renal cell carcinoma (RCC) from angiomyolipoma (AML) is controversial. This study prospectively enrolled 51 patients with 52 renal tumors (42 RCCs, 10 AMLs). We obtain...
Machine Learning Prospective Studies Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Humans Carcinoma, Renal Cell Kidney Sensitivity and Specificity Elasticity Imaging Techniques Diagnosis, Differential Male Angiomyolipoma Image Interpretation, Computer-Assisted Middle Aged Kidney Neoplasms Adolescent
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AVRA: Automatic visual ratings of atrophy from MRI images using recurrent convolutional neural networks.

NeuroImage. Clinical May 25, 2019
Quantifying the degree of atrophy is done clinically by neuroradiologists following established visual rating scales. For these assessments to be reliable the rater requires substantial training and experience, and even then the rating agreement betw...
Atrophy Brain Humans Magnetic Resonance Imaging Neural Networks, Computer Image Interpretation, Computer-Assisted Neuroimaging
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PSACNN: Pulse sequence adaptive fast whole brain segmentation.

NeuroImage May 24, 2019
With the advent of convolutional neural networks (CNN), supervised learning methods are increasingly being used for whole brain segmentation. However, a large, manually annotated training dataset of labeled brain images required to train such supervi...
Humans Neural Networks, Computer Brain Sensitivity and Specificity Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Neuroimaging
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Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly.

NeuroImage. Clinical May 24, 2019
Numerous brain disorders are associated with ventriculomegaly, including both neuro-degenerative diseases and cerebrospinal fluid disorders. Detailed evaluation of the ventricular system is important for these conditions to help understand the pathog...
Deep Learning Cerebral Ventricles Aged, 80 and over Humans Imaging, Three-Dimensional Hydrocephalus, Normal Pressure Adult Female Image Interpretation, Computer-Assisted Male Neuroimaging Middle Aged Aged
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Machine Learning Prediction of Liver Stiffness Using Clinical and T2-Weighted MRI Radiomic Data.

AJR. American journal of roentgenology May 23, 2019
The purpose of this study is to develop a machine learning model to categorically classify MR elastography (MRE)-derived liver stiffness using clinical and nonelastographic MRI radiomic features in pediatric and young adult patients with known or su...
Image Interpretation, Computer-Assisted Liver Diseases Elasticity Imaging Techniques Male Humans Adolescent Machine Learning Child Female Magnetic Resonance Imaging Young Adult
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Pathologist-level classification of histopathological melanoma images with deep neural networks.

European journal of cancer (Oxford, England : 1990) May 23, 2019
BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue biopsy under the microscope. Recent research reveals a high discordance between individual pathologists. For melanoma, the literature reports 25-26% ...
Microscopy Image Interpretation, Computer-Assisted Observer Variation Nevus Deep Learning Predictive Value of Tests Biopsy Pathologists Humans Melanoma Skin Neoplasms Reproducibility of Results Diagnosis, Computer-Assisted
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Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.

Radiology May 21, 2019
Background Risk stratification systems for thyroid nodules are often complicated and affected by low specificity. Continual improvement of these systems is necessary to reduce the number of unnecessary thyroid biopsies. Purpose To use artificial inte...
Sensitivity and Specificity Male Middle Aged Humans Risk Assessment Artificial Intelligence Aged Diagnostic Imaging Retrospective Studies Aged, 80 and over Image Interpretation, Computer-Assisted Female Young Adult Radiology Information Systems Reproducibility of Results Adult Adolescent Societies, Medical Thyroid Gland Thyroid Nodule United States
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Cerebral microbleed detection using Susceptibility Weighted Imaging and deep learning.

NeuroImage May 20, 2019
Detecting cerebral microbleeds (CMBs) is important in diagnosing a variety of diseases including dementia, stroke and traumatic brain injury. However, manual detection of CMBs can be time-consuming and prone to errors, whereas the current automatic a...
Aged, 80 and over Young Adult Adult Sensitivity and Specificity Algorithms Brain Retrospective Studies Aged Child Magnetic Resonance Imaging Cerebral Hemorrhage Image Interpretation, Computer-Assisted Middle Aged Deep Learning Adolescent Child, Preschool Humans
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