AIMC Topic: Datasets as Topic

Clear Filters Showing 161 to 170 of 1093 articles

Evaluation of deep convolutional neural networks for in situ hybridization gene expression image representation.

PloS one Jan 24, 2022
High resolution in situ hybridization (ISH) images of the brain capture spatial gene expression at cellular resolution. These spatial profiles are key to understanding brain organization at the molecular level. Previously, manual qualitative scoring ...
Transcriptome Humans Case-Control Studies Neural Networks, Computer Schizophrenia Machine Learning Image Interpretation, Computer-Assisted Brain Adult Female Datasets as Topic Male Young Adult In Situ Hybridization Middle Aged
View on PubMed DOI

A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm.

Scientific reports Jan 21, 2022
Accurate and early detection of anomalies in peripheral white blood cells plays a crucial role in the evaluation of well-being in individuals and the diagnosis and prognosis of hematologic diseases. For example, some blood disorders and immune system...
Datasets as Topic Cell Nucleus Hematologic Diseases Cytoplasm Elementary Particles Adolescent Female Aged Humans Young Adult Male Prognosis Adult Middle Aged Deep Learning Child Image Processing, Computer-Assisted Leukocytes
View on PubMed DOI

Current forecast of COVID-19 in Mexico: A Bayesian and machine learning approaches.

PloS one Jan 21, 2022
The COVID-19 pandemic has been widely spread and affected millions of people and caused hundreds of deaths worldwide, especially in patients with comorbilities and COVID-19. This manuscript aims to present models to predict, firstly, the number of co...
Humans Machine Learning COVID-19 Models, Statistical Bayes Theorem Survival Analysis Datasets as Topic Hypertension Contact Tracing Diabetes Mellitus SARS-CoV-2 Outpatients Mexico Hospitalization Obesity Comorbidity Incidence
View on PubMed DOI

Enhancing protein inter-residue real distance prediction by scrutinising deep learning models.

Scientific reports Jan 17, 2022
Protein structure prediction (PSP) has achieved significant progress lately via prediction of inter-residue distances using deep learning models and exploitation of the predictions during conformational search. In this context, prediction of large in...
Datasets as Topic Sequence Analysis, Protein Proteins Models, Molecular Amino Acid Sequence Neural Networks, Computer Deep Learning
View on PubMed DOI

Using deep learning to predict the outcome of live birth from more than 10,000 embryo data.

BMC pregnancy and childbirth Jan 16, 2022
BACKGROUND: Recently, the combination of deep learning and time-lapse imaging provides an objective, standard and scientific solution for embryo selection. However, the reported studies were based on blastocyst formation or clinical pregnancy as the ...
Live Birth Time-Lapse Imaging Single Embryo Transfer Deep Learning ROC Curve Predictive Value of Tests Area Under Curve Microscopy Probability Datasets as Topic Endpoint Determination Humans Reproducibility of Results
View on PubMed DOI

StrVCTVRE: A supervised learning method to predict the pathogenicity of human genome structural variants.

American journal of human genetics Jan 14, 2022
Whole-genome sequencing resolves many clinical cases where standard diagnostic methods have failed. However, at least half of these cases remain unresolved after whole-genome sequencing. Structural variants (SVs; genomic variants larger than 50 base ...
Humans Software Algorithms ROC Curve Genome, Human Exons Genomic Structural Variation Genomics Whole Genome Sequencing Supervised Machine Learning Datasets as Topic
View on PubMed DOI

Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method.

Scientific reports Jan 14, 2022
We developed and validated a deep learning (DL)-based model using the segmentation method and assessed its ability to detect lung cancer on chest radiographs. Chest radiographs for use as a training dataset and a test dataset were collected separatel...
Humans Sensitivity and Specificity Female Lung Neoplasms Male Aged Solitary Pulmonary Nodule Middle Aged Aged, 80 and over Datasets as Topic Deep Learning Adult Neural Networks, Computer Radiography, Thoracic Algorithms Retrospective Studies
View on PubMed DOI

A simple method for unsupervised anomaly detection: An application to Web time series data.

PloS one Jan 11, 2022
We propose a simple anomaly detection method that is applicable to unlabeled time series data and is sufficiently tractable, even for non-technical entities, by using the density ratio estimation based on the state space model. Our detection rule is ...
Internet Datasets as Topic Statistics as Topic Search Engine Humans Neural Networks, Computer Algorithms Time Factors
View on PubMed DOI

Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
The click feature of an image, defined as the user click frequency vector of the image on a predefined word vocabulary, is known to effectively reduce the semantic gap for fine-grained image recognition. Unfortunately, user click frequency data are u...
Dogs Datasets as Topic Semantics Machine Learning Pattern Recognition, Automated Algorithms Animals Birds
View on PubMed DOI

Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network.

NeuroImage Dec 26, 2021
Task-based and resting-state represent the two most common experimental paradigms of functional neuroimaging. While resting-state offers a flexible and scalable approach for characterizing brain function, task-based techniques provide superior locali...
Rest Magnetic Resonance Imaging Connectome Humans Emotions Neural Networks, Computer Brain Mapping Reproducibility of Results Datasets as Topic
View on PubMed DOI
Popular Topics
Recent Journals