AIMC Topic: Deep Learning

Clear Filters Showing 22481 to 22490 of 28423 articles

Deep learning in ophthalmology: The technical and clinical considerations.

Progress in retinal and eye research
The advent of computer graphic processing units, improvement in mathematical models and availability of big data has allowed artificial intelligence (AI) using machine learning (ML) and deep learning (DL) techniques to achieve robust performance for ...

A novel deep learning based automatic auscultatory method to measure blood pressure.

International journal of medical informatics
BACKGROUND: It is clinically important to develop innovative techniques that can accurately measure blood pressures (BP) automatically.

Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation.

Microscopy research and technique
Automatic and precise segmentation and classification of tumor area in medical images is still a challenging task in medical research. Most of the conventional neural network based models usefully connected or convolutional neural networks to perform...

Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders.

Computers in biology and medicine
To estimate the reliability and cognitive states of operator performance in a human-machine collaborative environment, we propose a novel human mental workload (MW) recognizer based on deep learning principles and utilizing the features of the electr...

Assessment of Electrocardiogram Rhythms by GoogLeNet Deep Neural Network Architecture.

Journal of healthcare engineering
The aim of this study is to design GoogLeNet deep neural network architecture by expanding the kernel size of the inception layer and combining the convolution layers to classify the electrocardiogram (ECG) beats into a normal sinus rhythm, premature...

A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices.

Computational intelligence and neuroscience
Recently, machine learning, especially deep learning, has been a core algorithm to be widely used in many fields such as natural language processing, speech recognition, object recognition, and so on. At the same time, another trend is that more and ...

Deep Learning/Artificial Intelligence and Blood-Based DNA Epigenomic Prediction of Cerebral Palsy.

International journal of molecular sciences
The etiology of cerebral palsy (CP) is complex and remains inadequately understood. Early detection of CP is an important clinical objective as this improves long term outcomes. We performed genome-wide DNA methylation analysis to identify epigenomic...

A novel deep learning method for automatic assessment of human sperm images.

Computers in biology and medicine
Sperm morphology analysis (SMA) is a very important factor in the diagnosis process of male infertility. This research proposes a novel deep learning algorithm for malformation detection of sperm morphology using human sperm cell images. Our proposed...

Application of Deep Learning Algorithm in Cervical Cancer MRI Image Segmentation Based on Wireless Sensor.

Journal of medical systems
With the development of medical technology in China, new difficulties are gradually emerging in traditional medicine. Cervical cancer MRI image segmentation technology based on wireless network is one of the most famous means. But the traditional tec...