AIMC Topic: Datasets as Topic

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Evaluation of machine learning approaches for cell-type identification from single-cell transcriptomics data.

Briefings in bioinformatics Sep 2, 2021
Single-cell transcriptomics technologies have vast potential in advancing our understanding of cellular heterogeneity in complex tissues. While methods to interpret single-cell transcriptomics data are developing rapidly, challenges in most analysis ...
Datasets as Topic Pancreas Transcriptome Single-Cell Analysis Mice Logistic Models Support Vector Machine Lymphocytes, Tumor-Infiltrating Benchmarking Phenotype Brain Animals Leukocytes, Mononuclear Humans Cells, Cultured
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XGSEA: CROSS-species gene set enrichment analysis via domain adaptation.

Briefings in bioinformatics Sep 2, 2021
MOTIVATION: Gene set enrichment analysis (GSEA) has been widely used to identify gene sets with statistically significant difference between cases and controls against a large gene set. GSEA needs both phenotype labels and expression of genes. Howeve...
Machine Learning Female Melanoma Skin Neoplasms Humans Computational Biology Gene Expression Regulation, Neoplastic Ovarian Neoplasms Zebrafish Brain Neoplasms Animals T-Lymphocytes Mice Embryo, Mammalian Datasets as Topic
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DeepCNV: a deep learning approach for authenticating copy number variations.

Briefings in bioinformatics Sep 2, 2021
Copy number variations (CNVs) are an important class of variations contributing to the pathogenesis of many disease phenotypes. Detecting CNVs from genomic data remains difficult, and the most currently applied methods suffer from an unacceptably hig...
Benchmarking Deep Learning Datasets as Topic ROC Curve Genome, Human Humans DNA Copy Number Variations False Positive Reactions Disease Area Under Curve
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Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression.

Briefings in bioinformatics Sep 2, 2021
Glioblastoma (GBM) is a common malignant brain tumor which often presents as a comorbidity with central nervous system (CNS) disorders. Both CNS disorders and GBM cells release glutamate and show an abnormality, but differ in cellular behavior. So, t...
Gene Expression Regulation, Neoplastic Signal Transduction Neoplasm Proteins Glioblastoma Gene Expression Profiling Gene Regulatory Networks Computational Biology Molecular Sequence Annotation Gene Ontology Atlases as Topic Glutamic Acid Datasets as Topic Central Nervous System Proportional Hazards Models Kaplan-Meier Estimate Humans Machine Learning Brain Neoplasms
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Clinician-driven artificial intelligence in ophthalmology: resources enabling democratization.

Current opinion in ophthalmology Sep 1, 2021
PURPOSE OF REVIEW: This article aims to discuss the current state of resources enabling the democratization of artificial intelligence (AI) in ophthalmology.
Humans Cloud Computing Artificial Intelligence Machine Learning Health Resources Delivery of Health Care Health Services Accessibility Ophthalmology Datasets as Topic
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The Clinician and Dataset Shift in Artificial Intelligence.

The New England journal of medicine Jul 15, 2021
Humans Machine Learning Artificial Intelligence Datasets as Topic Medical Informatics Information Technology
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Transfer learning for mobile real-time face mask detection and localization.

Journal of the American Medical Informatics Association : JAMIA Jul 14, 2021
OBJECTIVE: Due to the COVID-19 pandemic, our daily habits have suddenly changed. Gatherings are forbidden and, even when it is possible to leave the home for health or work reasons, it is necessary to wear a face mask to reduce the possibility of con...
Humans Deep Learning COVID-19 Automated Facial Recognition Female Datasets as Topic Male Masks
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Convolutional Neural Network Models for Automatic Preoperative Severity Assessment in Unilateral Cleft Lip.

Plastic and reconstructive surgery Jul 1, 2021
BACKGROUND: Despite the wide range of cleft lip morphology, consistent scales to categorize preoperative severity do not exist. Machine learning has been used to increase accuracy and efficiency in detection and rating of multiple conditions, yet it ...
Preoperative Period Cleft Lip Photography Counseling Humans Rhinoplasty Feasibility Studies Nose Clinical Decision-Making Image Processing, Computer-Assisted Remote Consultation Severity of Illness Index Automated Facial Recognition Mobile Applications Deep Learning Datasets as Topic Anatomic Landmarks
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3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks.

Journal of Zhejiang University. Science. B Jun 15, 2021
To overcome the computational burden of processing three-dimensional (3D) medical scans and the lack of spatial information in two-dimensional (2D) medical scans, a novel segmentation method was proposed that integrates the segmentation results of th...
Datasets as Topic Humans Imaging, Three-Dimensional Neural Networks, Computer Image Processing, Computer-Assisted Brain Neoplasms Glioma Magnetic Resonance Imaging
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Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: Reticular pseudodrusen (RPD), a key feature of age-related macular degeneration (AMD), are poorly detected by human experts on standard color fundus photography (CFP) and typically require advanced imaging modalities such as fundus autoflu...
Datasets as Topic Retinal Drusen Deep Learning Humans Female Computer Simulation Fundus Oculi Macular Degeneration Aged Male Diagnosis, Computer-Assisted
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