AIMC Topic: Diagnosis, Computer-Assisted

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A 3D Convolutional Neural Network Framework for Polyp Candidates Detection on the Limited Dataset of CT Colonography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Proper training of convolutional neural networks (CNNs) requires annotated training datasets oflarge size, which are not currently available in CT colonography (CTC). In this paper, we propose a well-designed framework to address the challenging prob...
Colon Diagnosis, Computer-Assisted Colonography, Computed Tomographic Polyps Humans Neural Networks, Computer
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Colorization of H&E stained tissue using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Histopathology is a critical tool in the diagnosis and stratification of cancer. Digital Pathology involves the scanning of stained and fixed tissue samples to produce highresolution images that can be used for computer-aided diagnosis and research. ...
Color Deep Learning Image Processing, Computer-Assisted Staining and Labeling Humans Neoplasms Diagnosis, Computer-Assisted
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Detecting Intracranial Hemorrhage with Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Initial results are reported on automated detection of intracranial hemorrhage from CT, which would be valuable in a computer-aided diagnosis system to help the radiologist detect subtle hemorrhages. Previous work has taken a classic approach involvi...
Image Processing, Computer-Assisted Intracranial Hemorrhages Diagnosis, Computer-Assisted Deep Learning Humans Databases, Factual Sensitivity and Specificity Neural Networks, Computer
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Interactive Sleep Stage Labelling Tool For Diagnosing Sleep Disorder Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Traditional manual scoring of the entire sleep for diagnosis of sleep disorders is highly time-consuming and dependent to experts experience. Thus, automatic methods based on electrooculography (EOG) analysis have been increasingly attracted attentio...
Humans Electroencephalography Electromyography Sleep Diagnosis, Computer-Assisted Deep Learning Electrooculography Sleep Stages Polysomnography Sleep Wake Disorders
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Potentiality of deep learning application in healthcare.

Computer methods and programs in biomedicine Jul 1, 2018
Neural Networks, Computer Machine Learning Humans Algorithms Delivery of Health Care Diagnosis, Computer-Assisted
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Teaching cardiovascular medicine to machines.

Cardiovascular research Jul 1, 2018
Prognosis Cardiovascular Diseases Therapy, Computer-Assisted Diffusion of Innovation Diagnosis, Computer-Assisted Hemodynamics Ventricular Remodeling Humans Models, Cardiovascular Machine Learning Patient-Specific Modeling
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Design of a hybrid model for cardiac arrhythmia classification based on Daubechies wavelet transform.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University Jun 1, 2018
BACKGROUND: Automation in cardiac arrhythmia classification helps medical professionals make accurate decisions about the patient's health.
Humans Diagnosis, Computer-Assisted Electrocardiography Algorithms Support Vector Machine Wavelet Analysis Arrhythmias, Cardiac
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Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential.

Current opinion in pulmonary medicine Mar 1, 2018
PURPOSE OF REVIEW: The application of artificial intelligence in the diagnosis of obstructive lung diseases is an exciting phenomenon. Artificial intelligence algorithms work by finding patterns in data obtained from diagnostic tests, which can be us...
Lung Diseases, Obstructive Respiratory Function Tests Breath Tests Humans Respiratory Sounds Machine Learning Diagnosis, Computer-Assisted Neural Networks, Computer Pattern Recognition, Automated Algorithms Artificial Intelligence Tomography, X-Ray Computed
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Machine learning to detect signatures of disease in liquid biopsies - a user's guide.

Lab on a chip Jan 30, 2018
New technologies that measure sparse molecular biomarkers from easily accessible bodily fluids (e.g. blood, urine, and saliva) are revolutionizing disease diagnostics and precision medicine. Microchip devices can measure more disease biomarkers with ...
Cluster Analysis Liquid Biopsy Humans Diagnosis, Computer-Assisted Databases, Factual Algorithms Molecular Diagnostic Techniques Machine Learning Biomarkers
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[Implementation of artificial intelligence into colonoscopy: experience of research and development of computer-aided diagnostic system for endocytoscopy].

Nihon Shokakibyo Gakkai zasshi = The Japanese journal of gastro-enterology Jan 1, 2018
Colorectal Neoplasms Humans Colonoscopy Artificial Intelligence Diagnosis, Computer-Assisted
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