AIMC Topic: Datasets as Topic

Clear Filters Showing 61 to 70 of 1093 articles

State-of-the-art sleep arousal detection evaluated on a comprehensive clinical dataset.

Scientific reports Jul 14, 2024
Aiming to apply automatic arousal detection to support sleep laboratories, we evaluated an optimized, state-of-the-art approach using data from daily work in our university hospital sleep laboratory. Therefore, a machine learning algorithm was traine...
Young Adult Adult Male Female Aged Aged, 80 and over Area Under Curve Sleep Datasets as Topic Statistics, Nonparametric Middle Aged Adolescent Predictive Value of Tests Humans Machine Learning Polysomnography Sleep Wake Disorders Arousal
View on PubMed DOI

2-Dimensional Echocardiographic Global Longitudinal Strain With Artificial Intelligence Using Open Data From a UK-Wide Collaborative.

JACC. Cardiovascular imaging Jul 10, 2024
BACKGROUND: Global longitudinal strain (GLS) is reported to be more reproducible and prognostic than ejection fraction. Automated, transparent methods may increase trust and uptake.
United Kingdom Humans Reproducibility of Results Myocardial Contraction Neural Networks, Computer Image Interpretation, Computer-Assisted Predictive Value of Tests Biomechanical Phenomena Global Longitudinal Strain Machine Learning Echocardiography Datasets as Topic Ventricular Dysfunction, Left Ventricular Function, Left Consensus Observer Variation
View on PubMed DOI

Language-aware multiple datasets detection pretraining for DETRs.

Neural networks : the official journal of the International Neural Network Society Jul 4, 2024
Pretraining on large-scale datasets can boost the performance of object detectors while the annotated datasets for object detection are hard to scale up due to the high labor cost. What we possess are numerous isolated filed-specific datasets, thus, ...
Databases, Factual Language Image Processing, Computer-Assisted Humans Datasets as Topic Neural Networks, Computer Algorithms
View on PubMed DOI

nnU-Net-based deep-learning for pulmonary embolism: detection, clot volume quantification, and severity correlation in the RSPECT dataset.

European journal of radiology Jun 25, 2024
OBJECTIVES: CT pulmonary angiography is the gold standard for diagnosing pulmonary embolism, and DL algorithms are being developed to manage the increase in demand. The nnU-Net is a new auto-adaptive DL framework that minimizes manual tuning, making ...
Severity of Illness Index Deep Learning Pulmonary Embolism Datasets as Topic Computed Tomography Angiography Aged Male Humans Middle Aged Algorithms Female
View on PubMed DOI

Basketball technique action recognition using 3D convolutional neural networks.

Scientific reports Jun 7, 2024
This research investigates the recognition of basketball techniques actions through the implementation of three-dimensional (3D) Convolutional Neural Networks (CNNs), aiming to enhance the accurate and automated identification of various actions in b...
Humans Neural Networks, Computer Reproducibility of Results Pattern Recognition, Automated Video Recording Movement Datasets as Topic Basketball
View on PubMed DOI

NKUT: Dataset and Benchmark for Pediatric Mandibular Wisdom Teeth Segmentation.

IEEE journal of biomedical and health informatics Jun 6, 2024
Germectomy is a common surgery in pediatric dentistry to prevent the potential dangers caused by impacted mandibular wisdom teeth. Segmentation of mandibular wisdom teeth is a crucial step in surgery planning. However, manually segmenting teeth and b...
Cone-Beam Computed Tomography Imaging, Three-Dimensional Mandible Benchmarking Datasets as Topic Deep Learning Child Molar, Third Humans Algorithms Databases, Factual
View on PubMed DOI

DREAMER: a computational framework to evaluate readiness of datasets for machine learning.

BMC medical informatics and decision making Jun 4, 2024
BACKGROUND: Machine learning (ML) has emerged as the predominant computational paradigm for analyzing large-scale datasets across diverse domains. The assessment of dataset quality stands as a pivotal precursor to the successful deployment of ML mode...
Humans Machine Learning Software Algorithms Supervised Machine Learning Unsupervised Machine Learning Datasets as Topic
View on PubMed DOI

Generalizing the Enhanced-Deep-Super-Resolution Neural Network to Brain MR Images: A Retrospective Study on the Cam-CAN Dataset.

eNeuro May 30, 2024
The Enhanced-Deep-Super-Resolution (EDSR) model is a state-of-the-art convolutional neural network suitable for improving image spatial resolution. It was previously trained with general-purpose pictures and then, in this work, tested on biomedical m...
Deep Learning Humans Retrospective Studies Image Processing, Computer-Assisted Neural Networks, Computer Adult Magnetic Resonance Imaging Female Brain Male Datasets as Topic Aged Middle Aged
View on PubMed DOI

A whole-slide foundation model for digital pathology from real-world data.

Nature May 22, 2024
Digital pathology poses unique computational challenges, as a standard gigapixel slide may comprise tens of thousands of image tiles. Prior models have often resorted to subsampling a small portion of tiles for each slide, thus missing the important ...
Female Male Neoplasms Humans Datasets as Topic Image Processing, Computer-Assisted Machine Learning Pathology, Clinical Benchmarking
View on PubMed DOI

A refined approach for evaluating small datasets via binary classification using machine learning.

PloS one May 21, 2024
Classical statistical analysis of data can be complemented or replaced with data analysis based on machine learning. However, in certain disciplines, such as education research, studies are frequently limited to small datasets, which raises several q...
Datasets as Topic Humans Machine Learning Algorithms
View on PubMed DOI
Popular Topics
Recent Journals