AIMC Topic: Neural Networks, Computer

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Computer-aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks.

Computer methods and programs in biomedicine Jan 25, 2020
Breast ultrasound and computer aided diagnosis (CAD) has been used to classify tumors into benignancy or malignancy. However, conventional CAD software has some problems (such as handcrafted features are hard to design; conventional CAD systems are d...
Deep Learning Humans Female Ultrasonography, Mammary Neural Networks, Computer Breast Neoplasms Diagnosis, Computer-Assisted Algorithms Image Interpretation, Computer-Assisted Databases, Factual
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Computer-aided tumor detection in automated breast ultrasound using a 3-D convolutional neural network.

Computer methods and programs in biomedicine Jan 25, 2020
BACKGROUND AND OBJECTIVES: Automated breast ultrasound (ABUS) is a widely used screening modality for breast cancer detection and diagnosis. In this study, an effective and fast computer-aided detection (CADe) system based on a 3-D convolutional neur...
Humans Neural Networks, Computer Algorithms Deep Learning Breast Female Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Ultrasonography, Mammary
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Segmentation of breast ultrasound image with semantic classification of superpixels.

Medical image analysis Jan 25, 2020
Breast cancer is a great threat to females. Ultrasound imaging has been applied extensively in diagnosis of breast cancer. Due to the poor image quality, segmentation of breast ultrasound (BUS) image remains a very challenging task. Besides, BUS imag...
Image Interpretation, Computer-Assisted Semantics Humans Neural Networks, Computer Female Breast Neoplasms Ultrasonography, Mammary
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Adaptive complex-valued stepsize based fast learning of complex-valued neural networks.

Neural networks : the official journal of the International Neural Network Society Jan 25, 2020
Complex-valued gradient descent algorithm is a popular tool to optimize functions of complex variables, especially for the training of complex-valued neural networks. However, the choice of suitable learning stepsize is a challenging task during the ...
Neural Networks, Computer
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Directed EEG neural network analysis by LAPPS (p≤1) Penalized sparse Granger approach.

Neural networks : the official journal of the International Neural Network Society Jan 25, 2020
The conventional multivariate Granger Analysis (GA) of directed interactions has been widely applied in brain network construction based on EEG recordings as well as fMRI. Nevertheless, EEG is usually inevitably contaminated by strong noise, which ma...
Humans Motor Cortex Female Neural Networks, Computer Male Electroencephalography
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Classification of glomerular hypercellularity using convolutional features and support vector machine.

Artificial intelligence in medicine Jan 25, 2020
Glomeruli are histological structures of the kidney cortex formed by interwoven blood capillaries, and are responsible for blood filtration. Glomerular lesions impair kidney filtration capability, leading to protein loss and metabolic waste retention...
Support Vector Machine Humans Neural Networks, Computer Kidney Diseases Kidney Glomerulus
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Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma.

Esophagus : official journal of the Japan Esophageal Society Jan 24, 2020
OBJECTIVES: In Japan, endoscopic resection (ER) is often used to treat esophageal squamous cell carcinoma (ESCC) when invasion depths are diagnosed as EP-SM1, whereas ESCC cases deeper than SM2 are treated by surgical operation or chemoradiotherapy. ...
Esophageal Neoplasms Neural Networks, Computer Sensitivity and Specificity Japan Artificial Intelligence Endoscopic Mucosal Resection Male Deep Learning Retrospective Studies Middle Aged Outcome Assessment, Health Care Esophageal Squamous Cell Carcinoma Aged Neoplasm Invasiveness Female Aged, 80 and over Humans Reproducibility of Results Preoperative Care Area Under Curve
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Automated Skeletal Classification with Lateral Cephalometry Based on Artificial Intelligence.

Journal of dental research Jan 24, 2020
Lateral cephalometry has been widely used for skeletal classification in orthodontic diagnosis and treatment planning. However, this conventional system, requiring manual tracing of individual landmarks, contains possible errors of inter- and intrava...
Artificial Intelligence ROC Curve Cephalometry Neural Networks, Computer
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Recognition of Emotion According to the Physical Elements of the Video.

Sensors (Basel, Switzerland) Jan 24, 2020
The increasing interest in the effects of emotion on cognitive, social, and neural processes creates a constant need for efficient and reliable techniques for emotion elicitation. Emotions are important in many areas, especially in advertising design...
Motion Pictures Videodisc Recording Emotions Color Humans Neural Networks, Computer Machine Learning Support Vector Machine
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Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk.

Scientific reports Jan 24, 2020
To compare different deep learning architectures for predicting the risk of readmission within 30 days of discharge from the intensive care unit (ICU). The interpretability of attention-based models is leveraged to describe patients-at-risk. Several ...
Bayes Theorem Patient Readmission Odds Ratio Deep Learning Algorithms Medical Records Systems, Computerized Chronic Disease Forecasting Humans Risk Communicable Diseases Intensive Care Units Neural Networks, Computer Sensitivity and Specificity Disease Progression
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