AIMC Topic: Neural Networks, Computer

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[Automatic Identifcation of Heart Block Precise Location Based on Sparse Connection Residual Network].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Mar 30, 2019
OBJECTIVE: To classify Right Bundle Branch Block (RBBB),Left Bundle Branch Block (LBBB) and normal ECG signals automatically.
Algorithms Electrocardiography Bundle-Branch Block Humans Neural Networks, Computer Arrhythmias, Cardiac
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A new deep learning model for assisted diagnosis on electrocardiogram.

Mathematical biosciences and engineering : MBE Mar 22, 2019
In order to enhance the accuracy of computer aided electrocardiogram analysis, we propose a deep learning model called CBRNN to assist diagnosis on electrocardiogram for clinical medical service. It combines two sub networks which are convolutional n...
Medical Errors Diagnosis, Computer-Assisted Machine Learning Medical Informatics Humans Algorithms Signal Processing, Computer-Assisted Deep Learning Models, Cardiovascular Neural Networks, Computer Cardiology Skin Electrocardiography
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Identifying concepts from medical images via transfer learning and image retrieval.

Mathematical biosciences and engineering : MBE Mar 8, 2019
Automatically identifying semantic concepts from medical images provides multimodal insights for clinical research. To study the effectiveness of concept detection on large scale medical images, we reconstructed over 230,000 medical image-concepts pa...
Deep Learning Image Processing, Computer-Assisted Internet Semantics Area Under Curve Neural Networks, Computer Female Breast Neoplasms Humans Pattern Recognition, Automated
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Medical assertion classification in Chinese EMRs using attention enhanced neural network.

Mathematical biosciences and engineering : MBE Mar 8, 2019
Electronic medical records (EMRs), such as hospital discharge summaries, contain a wealth of information only expressed in natural language. Automated methods for extracting information from these records must be able to recognize medical concepts in...
China Neural Networks, Computer Medical Informatics Humans Machine Learning Language Electronic Health Records
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Recurrent Neural Networks in Mobile Sampling and Intervention.

Schizophrenia bulletin Mar 7, 2019
The rapid rise and now widespread distribution of handheld and wearable devices, such as smartphones, fitness trackers, or smartwatches, has opened a new universe of possibilities for monitoring emotion and cognition in everyday-life context, and for...
Psychotic Disorders Telemedicine Ecological Momentary Assessment Humans Neural Networks, Computer Machine Learning
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Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets.

IEEE transactions on medical imaging Mar 1, 2019
In this paper, we developed a deep convolutional neural network (CNN) for the classification of malignant and benign masses in digital breast tomosynthesis (DBT) using a multi-stage transfer learning approach that utilized data from similar auxiliary...
Area Under Curve Sample Size Machine Learning Humans Breast Neoplasms Michigan Neural Networks, Computer Mammography
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Kinetic study of dye removal using TiO supported on polyethylene terephthalate by advanced oxidation processes through neural networks.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 1, 2019
This work investigated the efficiency of polyethylene terephthalate (PET) as support material for TiO films in the photocatalytic degradation of red Bordeaux and yellow tartrazine dyes. The optimum operating conditions were determined by a factorial ...
Kinetics Ultraviolet Rays Polyethylene Terephthalates Coloring Agents Catalysis Water Purification Models, Chemical Hydrogen Peroxide Neural Networks, Computer Water Pollutants, Chemical Titanium Oxidation-Reduction
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Decision tree (DT), generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) models for sediment transport in sewer pipes.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 1, 2019
Sediment deposition in sewers and urban drainage systems has great effect on the hydraulic capacity of the channel. In this respect, the self-cleansing concept has been widely used for sewers and urban drainage systems design. This study investigates...
Decision Trees Water Pollution Multivariate Analysis Waste Disposal, Fluid Models, Statistical Drainage, Sanitary Geologic Sediments Neural Networks, Computer
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Automated Diagnosis of Lymphoma with Digital Pathology Images Using Deep Learning.

Annals of clinical and laboratory science Mar 1, 2019
Recent studies have shown promising results in using Deep Learning to detect malignancy in whole slide imaging, however, they were limited to just predicting a positive or negative finding for a specific neoplasm. We attempted to use Deep Learning wi...
Neural Networks, Computer Algorithms Deep Learning Humans Automation Image Processing, Computer-Assisted Lymphoma
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Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks.

Journal of biomedical optics Mar 1, 2019
For patients undergoing surgical cancer resection of squamous cell carcinoma (SCCa), cancer-free surgical margins are essential for good prognosis. We developed a method to use hyperspectral imaging (HSI), a noncontact optical imaging modality, and c...
Biopsy Image Interpretation, Computer-Assisted Optical Imaging Neural Networks, Computer Squamous Cell Carcinoma of Head and Neck Humans
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