AIMC Topic:
Image Interpretation, Computer-Assisted

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Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring.

IEEE transactions on medical imaging Feb 18, 2016
Mammographic risk scoring has commonly been automated by extracting a set of handcrafted features from mammograms, and relating the responses directly or indirectly to breast cancer risk. We present a method that learns a feature hierarchy from unlab...
Female Breast Density Risk Factors Aged Adult Mammography Humans Breast Image Interpretation, Computer-Assisted Breast Neoplasms Middle Aged Unsupervised Machine Learning
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Evaluation of Underlying Lymphocytic Thyroiditis With Histogram Analysis Using Grayscale Ultrasound Images.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Feb 17, 2016
OBJECTIVES: The purpose of this study was to evaluate diagnostic performance of histogram analysis using grayscale ultrasound (US) images in the diagnosis of lymphocytic thyroiditis.
Data Interpretation, Statistical Image Interpretation, Computer-Assisted Observer Variation Image Enhancement Thyroiditis, Autoimmune Middle Aged Adolescent Ultrasonography Adult Sensitivity and Specificity Male Machine Learning Algorithms Female Aged, 80 and over Young Adult Reproducibility of Results Aged Humans
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Computer-Aided Endoscopic Diagnosis Without Human-Specific Labeling.

IEEE transactions on bio-medical engineering Feb 15, 2016
GOAL: Most state-of-the-art computer-aided endoscopic diagnosis methods require pixelwise labeled data to train various supervised machine learning models. However, it is a tedious and time-consuming work to collect sufficient precisely labeled image...
Image Interpretation, Computer-Assisted Databases, Factual Endoscopy Models, Theoretical Humans Machine Learning Algorithms
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AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images.

IEEE transactions on medical imaging Feb 11, 2016
The lack of publicly available ground-truth data has been identified as the major challenge for transferring recent developments in deep learning to the biomedical imaging domain. Though crowdsourcing has enabled annotation of large scale databases f...
Humans Neural Networks, Computer Crowdsourcing Breast Neoplasms Image Interpretation, Computer-Assisted Machine Learning Internet Video Games Female Histocytochemistry Mitosis
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Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation.

IEEE transactions on medical imaging Feb 11, 2016
We propose a novel segmentation approach based on deep 3D convolutional encoder networks with shortcut connections and apply it to the segmentation of multiple sclerosis (MS) lesions in magnetic resonance images. Our model is a neural network that co...
Imaging, Three-Dimensional Magnetic Resonance Imaging Multiple Sclerosis Machine Learning Algorithms Brain Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.

IEEE transactions on medical imaging Feb 11, 2016
Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning data-driven, highly representative, hierarchical image fea...
Databases, Factual Reproducibility of Results Diagnosis, Computer-Assisted Lymph Nodes Humans Neural Networks, Computer Lung Diseases, Interstitial Image Interpretation, Computer-Assisted
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Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.

IEEE transactions on medical imaging Feb 11, 2016
Cerebral microbleeds (CMBs) are small haemorrhages nearby blood vessels. They have been recognized as important diagnostic biomarkers for many cerebrovascular diseases and cognitive dysfunctions. In current clinical routine, CMBs are manually labelle...
Brain Neural Networks, Computer Humans Cerebral Hemorrhage Databases, Factual Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Biomarkers Magnetic Resonance Imaging
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Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images.

IEEE transactions on medical imaging Feb 8, 2016
Convolutional neural networks (CNNs) are deep learning network architectures that have pushed forward the state-of-the-art in a range of computer vision applications and are increasingly popular in medical image analysis. However, training of CNNs is...
Image Interpretation, Computer-Assisted Humans Machine Learning Neural Networks, Computer Databases, Factual Retinal Hemorrhage Fundus Oculi
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A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI.

Medical image analysis Feb 6, 2016
Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI) datasets is an essential step for calculation of clinical indices such as ventricular volume and ejection fraction. In this work, we employ deep learning algorithms...
Pattern Recognition, Automated Image Enhancement Models, Cardiovascular Heart Ventricles Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted Subtraction Technique Humans Magnetic Resonance Imaging, Cine Reproducibility of Results Algorithms Machine Learning Sensitivity and Specificity Computer Simulation
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Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images.

IEEE transactions on medical imaging Feb 4, 2016
Detection and classification of cell nuclei in histopathology images of cancerous tissue stained with the standard hematoxylin and eosin stain is a challenging task due to cellular heterogeneity. Deep learning approaches have been shown to produce en...
Humans Neural Networks, Computer Colonic Neoplasms Image Interpretation, Computer-Assisted Cell Nucleus Machine Learning Histocytochemistry Colon Cell Proliferation
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