AIMC Topic:
Databases, Factual

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Evolutionary and Neural Computing Based Decision Support System for Disease Diagnosis from Clinical Data Sets in Medical Practice.

Journal of medical systems Sep 27, 2017
As a recent trend, various computational intelligence and machine learning approaches have been used for mining inferences hidden in the large clinical databases to assist the clinician in strategic decision making. In any target data the irrelevant ...
Expert Systems Artificial Intelligence Algorithms Databases, Factual Neural Networks, Computer
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Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.

IEEE transactions on medical imaging Sep 26, 2017
Incorporation of prior knowledge about organ shape and location is key to improve performance of image analysis approaches. In particular, priors can be useful in cases where images are corrupted and contain artefacts due to limitations in image acqu...
Cardiac Imaging Techniques Algorithms Databases, Factual Humans Magnetic Resonance Imaging Imaging, Three-Dimensional Neural Networks, Computer Heart Cardiomyopathies
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Prediction of lung cancer patient survival via supervised machine learning classification techniques.

International journal of medical informatics Sep 25, 2017
Outcomes for cancer patients have been previously estimated by applying various machine learning techniques to large datasets such as the Surveillance, Epidemiology, and End Results (SEER) program database. In particular for lung cancer, it is not we...
Humans Machine Learning Lung Neoplasms Databases, Factual Support Vector Machine Survival Rate
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Quantum associative memory with linear and non-linear algorithms for the diagnosis of some tropical diseases.

Neural networks : the official journal of the International Neural Network Society Sep 21, 2017
This paper presents the QAMDiagnos, a model of Quantum Associative Memory (QAM) that can be a helpful tool for medical staff without experience or laboratory facilities, for the diagnosis of four tropical diseases (malaria, typhoid fever, yellow feve...
User-Computer Interface Smartphone Malaria Quantum Theory Typhoid Fever Nonlinear Dynamics Yellow Fever Humans Machine Learning Algorithms Neural Networks, Computer Databases, Factual Dengue Artificial Intelligence Tropical Medicine
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Deep learning approach to bacterial colony classification.

PloS one Sep 14, 2017
In microbiology it is diagnostically useful to recognize various genera and species of bacteria. It can be achieved using computer-aided methods, which make the recognition processes more automatic and thus significantly reduce the time necessary for...
Bacteria Machine Learning Neural Networks, Computer Support Vector Machine Databases, Factual
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Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning.

IEEE transactions on medical imaging Sep 12, 2017
We describe an automated methodology for the analysis of unregistered cranio-caudal (CC) and medio-lateral oblique (MLO) mammography views in order to estimate the patient's risk of developing breast cancer. The main innovation behind this methodolog...
Imaging, Three-Dimensional Mammography Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms ROC Curve Breast Humans Machine Learning Databases, Factual Female
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Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort.

Computers in biology and medicine Sep 8, 2017
The morphometric characteristics of the retinal vasculature are associated with future risk of many systemic and vascular diseases. However, analysis of data from large population based studies is needed to help resolve uncertainties in some of these...
Databases, Factual Female Male Humans Neural Networks, Computer Optic Disk Retinal Vessels Arterioles Venules Image Processing, Computer-Assisted Biological Specimen Banks United Kingdom Middle Aged Cohort Studies
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Sharable and Individual Multi-View Metric Learning.

IEEE transactions on pattern analysis and machine intelligence Sep 7, 2017
This paper presents a sharable and individual multi-view metric learning (MvML) approach for visual recognition. Unlike conventional metric leaning methods which learn a distance metric on either a single type of feature representation or a concatena...
Face Pattern Recognition, Automated Biometric Identification Deep Learning Image Processing, Computer-Assisted Humans Databases, Factual Family
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Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI.

Contrast media & molecular imaging Sep 7, 2017
OBJECTIVE: We aimed to propose an automatic method based on Support Vector Machine (SVM) and Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to segment the tumor lesions of head and neck cancer (HNC).
Head and Neck Neoplasms Female Humans Support Vector Machine Male Databases, Factual Contrast Media Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Very Deep Convolutional Neural Networks for Morphologic Classification of Erythrocytes.

Clinical chemistry Sep 6, 2017
BACKGROUND: Morphologic profiling of the erythrocyte population is a widely used and clinically valuable diagnostic modality, but one that relies on a slow manual process associated with significant labor cost and limited reproducibility. Automated p...
Databases, Factual Image Processing, Computer-Assisted Erythrocytes Humans Neural Networks, Computer
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