AIMC Topic: Deep Learning

Clear Filters Showing 14561 to 14570 of 28423 articles

Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jun 27, 2022
BACKGROUND: Myocardial scar burden quantified using late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR), has important prognostic value in hypertrophic cardiomyopathy (HCM). However, nearly 50% of HCM patients have no scar but u...
Humans Female Male Cardiomyopathy, Hypertrophic Artificial Intelligence Gadolinium Predictive Value of Tests Deep Learning Cicatrix Magnetic Resonance Imaging, Cine Contrast Media
View on PubMed DOI

An Intelligent System for Detecting Abnormal Behavior in Students Based on the Human Skeleton and Deep Learning.

Computational intelligence and neuroscience Jun 27, 2022
With the use of an intelligent video system, this research provides a method for detecting abnormal behavior based on the human skeleton and deep learning. To begin with, the spatiotemporal features of human bones are extracted through iterative trai...
Deep Learning Skeleton Humans Algorithms Neural Networks, Computer Students
View on PubMed DOI

Evaluation of the Design of "Shape" and "Meaning" of Book Binding from the Perspective of Deep Learning.

Computational intelligence and neuroscience Jun 27, 2022
Book binding is the procedure of manually accumulating a book in codex format from a well-ordered pile of paper sheets, which are folded together into sections or occasionally left as a stack of individual sheets. The books undergo binding into diffe...
Motivation Deep Learning Books Intention Humans Algorithms
View on PubMed DOI

Biomedical Microscopic Imaging in Computational Intelligence Using Deep Learning Ensemble Convolution Learning-Based Feature Extraction and Classification.

Computational intelligence and neuroscience Jun 27, 2022
Microscopy image analysis gives quantitative support for enhancing the characterizations of various diseases, including breast cancer, lung cancer, and brain tumors. As a result, it is crucial in computer-assisted diagnosis and prognosis. Understandi...
Diagnostic Imaging Diagnosis, Computer-Assisted Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

In silico prediction of chemical aquatic toxicity by multiple machine learning and deep learning approaches.

Journal of applied toxicology : JAT Jun 26, 2022
Fish is one of the model animals used to evaluate the adverse effects of a chemical exposed to the ecosystem. However, its low throughput and relevantly high expense make it impossible to test all new chemicals in manufacture. Hence, using in silico ...
Machine Learning Deep Learning Lethal Dose 50 Cyprinidae Animals Ecosystem
View on PubMed DOI

Radiologists with and without deep learning-based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses.

European radiology Jun 25, 2022
OBJECTIVES: To compare the performance of radiologists in characterizing and diagnosing pulmonary nodules/masses with and without deep learning (DL)-based computer-aided diagnosis (CAD).
Reproducibility of Results Sensitivity and Specificity Humans Computers Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Diagnosis, Computer-Assisted Deep Learning Radiologists Observer Variation
View on PubMed DOI

Deep learning-based acceleration of Compressed Sense MR imaging of the ankle.

European radiology Jun 25, 2022
OBJECTIVES: To evaluate a compressed sensing artificial intelligence framework (CSAI) to accelerate MRI acquisition of the ankle.
Ankle Artifacts Signal-To-Noise Ratio Prospective Studies Deep Learning Humans Magnetic Resonance Imaging Imaging, Three-Dimensional Artificial Intelligence Acceleration
View on PubMed DOI

A deep learning model designed for Raman spectroscopy with a novel hyperparameter optimization method.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 25, 2022
Raman spectroscopy is a spectroscopic technique typically used to determine vibrational modes of molecules and is commonly used in chemistry to provide a structural fingerprint by which molecules can be identified. With the help of deep learning, Ram...
Spectrum Analysis, Raman Algorithms Deep Learning Neural Networks, Computer
View on PubMed DOI

Reconstruction of missing spring discharge by using deep learning models with ensemble empirical mode decomposition of precipitation.

Environmental science and pollution research international Jun 25, 2022
A continuous and complete spring discharge record is critical in understanding the hydrodynamic behavior of karst aquifers and the variability of freshwater resources. However, due to equipment errors, failure of observation and other reasons, missin...
Hydrology Deep Learning Texas Neural Networks, Computer Algorithms
View on PubMed DOI

Trends and frontiers of atmospheric duct research based on CiteSpace and deep learning.

Environmental science and pollution research international Jun 25, 2022
The research of evaporation duct is of fundamental importance in the radar and signal communication industry. Particularly, in a real atmosphere environment, most of the radar holes cannot be corrected in time because of the persistent evaporation du...
Deep Learning Bibliometrics Publications Knowledge Communication
View on PubMed DOI
Popular Topics
Recent Journals