AIMC Topic: Neural Networks, Computer

Clear Filters Showing 19021 to 19030 of 31376 articles

Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network.

Artificial intelligence in medicine
Distant recurrence of breast cancer results in high lifetime risks and low 5-year survival rates. Early prediction of distant recurrent breast cancer could facilitate intervention and improve patients' life quality. In this study, we designed an EHR-...

Smart Helmet 5.0 for Industrial Internet of Things Using Artificial Intelligence.

Sensors (Basel, Switzerland)
Information and communication technologies (ICTs) have contributed to advances in Occupational Health and Safety, improving the security of workers. The use of Personal Protective Equipment (PPE) based on ICTs reduces the risk of accidents in the wor...

A novel extended Kalman filter with support vector machine based method for the automatic diagnosis and segmentation of brain tumors.

Computer methods and programs in biomedicine
BACKGROUND: Brain tumors are life-threatening, and their early detection is crucial for improving survival rates. Conventionally, brain tumors are detected by radiologists based on their clinical experience. However, this process is inefficient. This...

Roto-translation equivariant convolutional networks: Application to histopathology image analysis.

Medical image analysis
Rotation-invariance is a desired property of machine-learning models for medical image analysis and in particular for computational pathology applications. We propose a framework to encode the geometric structure of the special Euclidean motion group...

Deep learning with wearable based heart rate variability for prediction of mental and general health.

Journal of biomedical informatics
The ubiquity and commoditisation of wearable biosensors (fitness bands) has led to a deluge of personal healthcare data, but with limited analytics typically fed back to the user. The feasibility of feeding back more complex, seemingly unrelated meas...

Protein molecular defect detection method based on a neural network algorithm.

Cellular and molecular biology (Noisy-le-Grand, France)
Proteins, as the largest macromolecules in the body, are among the most important components of the body and play very vital and important roles. These substances are made up of a series of amino acid chains that, depending on the type of protein, th...

Deep Learning-Based Positioning of Visually Impaired People in Indoor Environments.

Sensors (Basel, Switzerland)
Wayfinding and navigation can present substantial challenges to visually impaired (VI) people. Some of the significant aspects of these challenges arise from the difficulty of knowing the location of a moving person with enough accuracy. Positioning ...

The detection of lung cancer using massive artificial neural network based on soft tissue technique.

BMC medical informatics and decision making
BACKGROUND: A proposed computer aided detection (CAD) scheme faces major issues during subtle nodule recognition. However, radiologists have not noticed subtle nodules in beginning stage of lung cancer while a proposed CAD scheme recognizes non subtl...

Intraprostatic Tumor Segmentation on PSMA PET Images in Patients with Primary Prostate Cancer with a Convolutional Neural Network.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Accurate delineation of the intraprostatic gross tumor volume (GTV) is a prerequisite for treatment approaches in patients with primary prostate cancer (PCa). Prostate-specific membrane antigen PET (PSMA PET) may outperform MRI in GTV detection. Howe...

Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction.

Environmental science and pollution research international
Suspended sediment load is a substantial portion of the total sediment load in rivers and plays a vital role in determination of the service life of the downstream dam. To this end, estimation models are needed to compute suspended sediment load in r...