AIMC Topic: Datasets as Topic

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DentAge: Deep learning for automated age prediction using panoramic dental X-ray images.

Journal of forensic sciences Sep 18, 2024
Age estimation plays a crucial role in various fields, including forensic science and anthropology. This study aims to develop and validate DentAge, a deep-learning model for automated age prediction using panoramic dental X-ray images. DentAge was t...
Aged Aged, 80 and over Young Adult Adult Humans Female Child, Preschool Child Radiography, Panoramic Forensic Dentistry Male Middle Aged Deep Learning Adolescent Datasets as Topic Age Determination by Teeth
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Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement.

Progress in orthodontics Sep 16, 2024
OBJECTIVES: This study aimed to assess the accuracy of machine learning (ML) models with feature selection technique in classifying cervical vertebral maturation stages (CVMS). Consensus-based datasets were used for models training and evaluation for...
Observer Variation Age Determination by Skeleton Cephalometry Cervical Vertebrae Datasets as Topic Humans Machine Learning Female Male Adolescent Child Support Vector Machine
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Main challenges on the curation of large scale datasets for pancreas segmentation using deep learning in multi-phase CT scans: Focus on cardinality, manual refinement, and annotation quality.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 13, 2024
Accurate segmentation of the pancreas in computed tomography (CT) holds paramount importance in diagnostics, surgical planning, and interventions. Recent studies have proposed supervised deep-learning models for segmentation, but their efficacy relie...
Tomography, X-Ray Computed Deep Learning Humans Datasets as Topic Pancreas
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Integrating large-scale single-cell RNA sequencing in central nervous system disease using self-supervised contrastive learning.

Communications biology Sep 10, 2024
The central nervous system (CNS) comprises a diverse range of brain cell types with distinct functions and gene expression profiles. Although single-cell RNA sequencing (scRNA-seq) provides new insights into the brain cell atlases, integrating large-...
Humans Animals Supervised Machine Learning Datasets as Topic Central Nervous System Atlases as Topic Deep Learning Single-Cell Gene Expression Analysis Cluster Analysis Neurodegenerative Diseases
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DepressionEmo: A novel dataset for multilabel classification of depression emotions.

Journal of affective disorders Aug 28, 2024
Emotions are integral to human social interactions, with diverse responses elicited by various situational contexts. Particularly, the prevalence of negative emotional states has been correlated with negative outcomes for mental health, necessitating...
Humans Machine Learning Reproducibility of Results Deep Learning Depression Emotions Datasets as Topic
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Machine learning revealing overlooked conjunction of working volume and mixing intensity in anammox optimization.

Water research Aug 26, 2024
Extensive studies on improving anammox performance have taken place for decades with particular focuses on its operational and environmental factors, but such parameter-based optimization is difficult, because of the sheer number of possible combinat...
Anaerobic Ammonia Oxidation Algorithms Bayes Theorem Machine Learning Datasets as Topic Hydrodynamics
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Improved robustness for deep learning-based segmentation of multi-center myocardial perfusion cardiovascular MRI datasets using data-adaptive uncertainty-guided space-time analysis.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 12, 2024
BACKGROUND: Fully automatic analysis of myocardial perfusion cardiovascular magnetic resonance imaging datasets enables rapid and objective reporting of stress/rest studies in patients with suspected ischemic heart disease. Developing deep learning t...
Myocardial Perfusion Imaging Uncertainty Time Factors United States Magnetic Resonance Imaging Aged Predictive Value of Tests Humans Image Interpretation, Computer-Assisted Male Female Datasets as Topic Middle Aged Reproducibility of Results Coronary Circulation Deep Learning
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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 8, 2024
BACKGROUND: Four-dimensional cardiovascular magnetic resonance flow imaging (4D flow CMR) plays an important role in assessing cardiovascular diseases. However, the manual or semi-automatic segmentation of aortic vessel boundaries in 4D flow data int...
Aorta Perfusion Imaging Neural Networks, Computer Image Interpretation, Computer-Assisted Female Bicuspid Aortic Valve Disease Reproducibility of Results Datasets as Topic Aged Blood Flow Velocity Humans Middle Aged Aortic Valve Predictive Value of Tests Case-Control Studies Young Adult Regional Blood Flow Hemodynamics Adult Deep Learning Male
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The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on F-PSMA-1007 PET.

Radiation oncology (London, England) Aug 7, 2024
PURPOSE: Convolutional Neural Networks (CNNs) have emerged as transformative tools in the field of radiation oncology, significantly advancing the precision of contouring practices. However, the adaptability of these algorithms across diverse scanner...
Oligopeptides Niacinamide Positron-Emission Tomography Datasets as Topic Humans Fluorine Radioisotopes Neural Networks, Computer Algorithms Male Image Processing, Computer-Assisted Prostatic Neoplasms Radiopharmaceuticals
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Adaptive neighborhood triplet loss: enhanced segmentation of dermoscopy datasets by mining pixel information.

International journal of computer assisted radiology and surgery Aug 2, 2024
PURPOSE: The integration of deep learning in image segmentation technology markedly improves the automation capabilities of medical diagnostic systems, reducing the dependence on the clinical expertise of medical professionals. However, the accuracy ...
Datasets as Topic Melanoma Skin Neoplasms Dermoscopy Deep Learning Image Processing, Computer-Assisted Data Mining Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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