AIMC Topic:
Image Interpretation, Computer-Assisted

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Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks.

IEEE transactions on medical imaging Mar 19, 2019
Chromosome classification is critical for karyotyping in abnormality diagnosis. To expedite the diagnosis, we present a novel method named Varifocal-Net for simultaneous classification of chromosome's type and polarity using deep convolutional networ...
Humans Neural Networks, Computer Algorithms Female Male Supervised Machine Learning Image Interpretation, Computer-Assisted Chromosomes Chromosome Disorders Karyotyping
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Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.

Japanese journal of radiology Mar 19, 2019
PURPOSE: We aimed to use deep learning with convolutional neural network (CNN) to discriminate between benign and malignant breast mass images from ultrasound.
Humans Neural Networks, Computer Databases, Factual Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Diagnosis, Differential Ultrasonography, Mammary Breast Image Interpretation, Computer-Assisted Young Adult Breast Neoplasms Adult Middle Aged Sensitivity and Specificity Deep Learning ROC Curve
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A multi-scale data fusion framework for bone age assessment with convolutional neural networks.

Computers in biology and medicine Mar 19, 2019
Bone age assessment (BAA) has various clinical applications such as diagnosis of endocrine disorders and prediction of final adult height for adolescents. Recent studies indicate that deep learning techniques have great potential in developing automa...
Adolescent Humans Image Interpretation, Computer-Assisted Adult Absorptiometry, Photon Deep Learning Age Determination by Skeleton
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MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features.

IEEE transactions on medical imaging Mar 18, 2019
In this paper, we propose bag of adversarial features (BAFs) for identifying mild traumatic brain injury (MTBI) patients from their diffusion magnetic resonance images (MRIs) (obtained within one month of injury) by incorporating unsupervised feature...
ROC Curve Image Interpretation, Computer-Assisted Brain Concussion Diffusion Magnetic Resonance Imaging Middle Aged Deep Learning Adolescent Databases, Factual Humans Brain Algorithms Young Adult Adult
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Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important.

NeuroImage Mar 17, 2019
Combining neuroimaging and clinical information for diagnosis, as for example behavioral tasks and genetics characteristics, is potentially beneficial but presents challenges in terms of finding the best data representation for the different sources ...
Machine Learning Algorithms Depression Alzheimer Disease Humans Image Interpretation, Computer-Assisted Neuroimaging
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Machine Learning Using CT-FFR Predicts Proximal Atherosclerotic Plaque Formation Associated With LAD Myocardial Bridging.

JACC. Cardiovascular imaging Mar 13, 2019
Coronary Angiography Coronary Artery Disease Image Interpretation, Computer-Assisted Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Fractional Flow Reserve, Myocardial Myocardial Bridging Male Middle Aged Time Factors Predictive Value of Tests Female Risk Factors Aged Humans Machine Learning Prognosis Retrospective Studies
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Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images.

Sensors (Basel, Switzerland) Mar 13, 2019
Detection of abnormalities in wireless capsule endoscopy (WCE) images is a challenging task. Typically, these images suffer from low contrast, complex background, variations in lesion shape and color, which affect the accuracy of their segmentation a...
Deep Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Capsule Endoscopy Humans Neural Networks, Computer Machine Learning Ulcer
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Convolutional neural network to predict the local recurrence of giant cell tumor of bone after curettage based on pre-surgery magnetic resonance images.

European radiology Mar 11, 2019
OBJECTIVE: To predict the local recurrence of giant cell bone tumors (GCTB) on MR features and the clinical characteristics after curettage using a deep convolutional neural network (CNN).
Prognosis Female Young Adult Adult Humans Neural Networks, Computer Algorithms Neoplasm Staging Neoplasm Recurrence, Local Bone and Bones Image Interpretation, Computer-Assisted Logistic Models Preoperative Period Giant Cell Tumor of Bone Follow-Up Studies Male Curettage Magnetic Resonance Imaging Middle Aged Bone Neoplasms Adolescent
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A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task.

European journal of cancer (Oxford, England : 1990) Mar 8, 2019
BACKGROUND: Recent studies have demonstrated the use of convolutional neural networks (CNNs) to classify images of melanoma with accuracies comparable to those achieved by board-certified dermatologists. However, the performance of a CNN exclusively ...
Sensitivity and Specificity Dermatologists Dermatology Image Interpretation, Computer-Assisted Neural Networks, Computer Melanoma Skin Neoplasms Dermoscopy Humans
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Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment.

IEEE transactions on medical imaging Mar 7, 2019
Recent works show that generative adversarial networks (GANs) can be successfully applied to image synthesis and semi-supervised learning, where, given a small labeled database and a large unlabeled database, the goal is to train a powerful classifie...
Retina Supervised Machine Learning Image Interpretation, Computer-Assisted Diagnostic Techniques, Ophthalmological Humans Glaucoma Algorithms Databases, Factual
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