AIMC Topic: Electronic Data Processing
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Generating Quantitative Cell Identity Labels with Marker Enrichment Modeling (MEM).
Current protocols in cytometry
Jan 18, 2018
Multiplexed single-cell experimental techniques like mass cytometry measure 40 or more features and enable deep characterization of well-known and novel cell populations. However, traditional data analysis techniques rely extensively on human experts...
Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates.
Computer methods and programs in biomedicine
Dec 18, 2017
BACKGROUND AND OBJECTIVE: The recent introduction of Full Laboratory Automation systems in clinical microbiology opens to the availability of streams of high definition images representing bacteria culturing plates. This creates new opportunities to ...
Detecting atrial fibrillation by deep convolutional neural networks.
Computers in biology and medicine
Dec 15, 2017
BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia. The incidence of AF increases with age, causing high risks of stroke and increased morbidity and mortality. Efficient and accurate diagnosis of AF based on the ECG is valuabl...
Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review.
Computer methods and programs in biomedicine
Dec 12, 2017
BACKGROUND AND OBJECTIVE: The high incidence of breast cancer in women has increased significantly in the recent years. Physician experience of diagnosing and detecting breast cancer can be assisted by using some computerized features extraction and ...
Nanoparticle based bio-bar code technology for trace analysis of aflatoxin B1 in Chinese herbs.
Journal of food and drug analysis
Dec 6, 2017
A novel and sensitive assay for aflatoxin B1 (AFB1) detection has been developed by using bio-bar code assay (BCA). The method that relies on polyclonal antibodies encoded with DNA modified gold nanoparticle (NP) and monoclonal antibodies modified ma...
Adaptive neuro-heuristic hybrid model for fruit peel defects detection.
Neural networks : the official journal of the International Neural Network Society
Nov 15, 2017
Fusion of machine learning methods benefits in decision support systems. A composition of approaches gives a possibility to use the most efficient features composed into one solution. In this article we would like to present an approach to the develo...
Codebook-based electrooculography data analysis towards cognitive activity recognition.
Computers in biology and medicine
Oct 28, 2017
With the advancement in mobile/wearable technology, people started to use a variety of sensing devices to track their daily activities as well as health and fitness conditions in order to improve the quality of life. This work addresses an idea of ey...
Error-Correcting Factorization.
IEEE transactions on pattern analysis and machine intelligence
Oct 16, 2017
Error Correcting Output Codes (ECOC) is a successful technique in multi-class classification, which is a core problem in Pattern Recognition and Machine Learning. A major advantage of ECOC over other methods is that the multi-class problem is decoupl...
Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes.
NeuroImage. Clinical
Sep 28, 2017
OBJECTIVE: To diagnose and lateralise temporal lobe epilepsy (TLE) by building a classification system that uses directed functional connectivity patterns estimated during EEG periods without visible pathological activity.
Optimal feature selection using a modified differential evolution algorithm and its effectiveness for prediction of heart disease.
Computers in biology and medicine
Sep 19, 2017
Enormous data growth in multiple domains has posed a great challenge for data processing and analysis techniques. In particular, the traditional record maintenance strategy has been replaced in the healthcare system. It is vital to develop a model th...
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