AIMC Topic: Deep Learning

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VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 1, 2019
Extraction or segmentation of organ vessels is an important task for surgical planning and computer-aided diagnoses. This is a challenging task due to the extremely small size of the vessel structure, low SNR, and varying contrast in medical image da...
Blood Vessels Imaging, Three-Dimensional Liver Datasets as Topic Humans Neural Networks, Computer Algorithms Diagnosis, Computer-Assisted Deep Learning
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Deep Learning for the Radiographic Detection of Apical Lesions.

Journal of endodontics Jun 1, 2019
INTRODUCTION: We applied deep convolutional neural networks (CNNs) to detect apical lesions (ALs) on panoramic dental radiographs.
Neural Networks, Computer Sensitivity and Specificity Deep Learning ROC Curve Tooth
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Wilson's disease: A new perspective review on its genetics, diagnosis and treatment.

Frontiers in bioscience (Elite edition) Jun 1, 2019
Wilson's disease (WD) is an autosomal recessive disorder which is caused by poor excretion of copper in mammalian cells. In this review, various issues such as effective characterization of ATP7B genes, scope of gene network topology in genetic analy...
Humans Copper-Transporting ATPases Deep Learning Hepatolenticular Degeneration
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Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.

Ophthalmology May 31, 2019
PURPOSE: To develop and evaluate deep learning models that screen multiple abnormal findings in retinal fundus images.
Fundus Oculi Image Interpretation, Computer-Assisted Datasets as Topic Deep Learning ROC Curve Area Under Curve Retinal Diseases Algorithms Aged, 80 and over Humans Cross-Sectional Studies Female Adult Male Neural Networks, Computer Aged Sensitivity and Specificity Middle Aged Machine Learning
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Artificial intelligence in dermato-oncology: a joint clinical and data science perspective.

International journal of dermatology May 31, 2019
Deep Learning Medical Oncology Humans Dermatology Data Science Melanoma Datasets as Topic Image Interpretation, Computer-Assisted Early Detection of Cancer Skin Neoplasms
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Insights and approaches using deep learning to classify wildlife.

Scientific reports May 31, 2019
The implementation of intelligent software to identify and classify objects and individuals in visual fields is a technology of growing importance to operatives in many fields, including wildlife conservation and management. To non-experts, the metho...
Pattern Recognition, Automated Species Specificity Computer Graphics Africa Deep Learning Image Processing, Computer-Assisted Cluster Analysis Biodiversity Ecology Reproducibility of Results Animals Animals, Wild Neural Networks, Computer Software Algorithms
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Development of a deep neural network for generating synthetic dual-energy chest x-ray images with single x-ray exposure.

Physics in medicine and biology May 31, 2019
Dual-energy chest radiography (DECR) is a medical imaging technology that can improve diagnostic accuracy. This technique can decompose single-energy chest radiography (SECR) images into separate bone- and soft tissue-only images. This can, however, ...
Radiation Exposure Image Processing, Computer-Assisted Radiography Thorax Humans Deep Learning
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Promising Artificial Intelligence-Machine Learning-Deep Learning Algorithms in Ophthalmology.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) May 31, 2019
The lifestyle of modern society has changed significantly with the emergence of artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies in recent years. Artificial intelligence is a multidimensional technology with va...
Humans Artificial Intelligence Machine Learning Algorithms Deep Learning Ophthalmology Eye Diseases Diagnostic Techniques, Ophthalmological
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Deep learning facilitates the diagnosis of adult asthma.

Allergology international : official journal of the Japanese Society of Allergology May 30, 2019
BACKGROUND: We explored whether the use of deep learning to model combinations of symptom-physical signs and objective tests, such as lung function tests and the bronchial challenge test, would improve model performance in predicting the initial diag...
Support Vector Machine ROC Curve Logistic Models Models, Theoretical Artificial Intelligence Asthma Algorithms Male Female Deep Learning Humans Neural Networks, Computer
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Spatio-temporal deep learning models for tip force estimation during needle insertion.

International journal of computer assisted radiology and surgery May 30, 2019
PURPOSE: Precise placement of needles is a challenge in a number of clinical applications such as brachytherapy or biopsy. Forces acting at the needle cause tissue deformation and needle deflection which in turn may lead to misplacement or injury. He...
Humans Algorithms Deep Learning Calibration Needles Brachytherapy Tomography, Optical Coherence Equipment Design Biopsy Mechanical Phenomena
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