Datasets as Topic

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 39142567

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...

Aged Coronary Circulation Datasets as Topic Deep Learning Female Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male Middle Aged Myocardial Perfusion Imaging Predictive Value of Tests Reproducibility of Results Time Factors Uncertainty United States

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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 39127260

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...

Adult Aged Aorta Aortic Valve Bicuspid Aortic Valve Disease Blood Flow Velocity Case-Control Studies Datasets as Topic Deep Learning Female Hemodynamics Humans Image Interpretation, Computer-Assisted Male Middle Aged Neural Networks, Computer Perfusion Imaging Predictive Value of Tests Regional Blood Flow Reproducibility of Results Young Adult

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Partial coherence enhances parallelized photonic computing.

Nature 39085539

Advancements in optical coherence control have unlocked many cutting-edge applications, including long-haul communication, light detection and ranging (LiDAR) and optical coherence tomography. Prevailing wisdom suggests that using more coherent light...

Datasets as Topic Gait Humans Neural Networks, Computer Optics and Photonics Parkinson Disease Photons Sensitivity and Specificity Silicon Tomography, Optical Coherence

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Has your paper been used to train an AI model? Almost certainly.

Nature 39143285

Artificial Intelligence Copyright Datasets as Topic Machine Learning Research Personnel Research Report

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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) 39113123

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...

Algorithms Datasets as Topic Fluorine Radioisotopes Humans Image Processing, Computer-Assisted Male Neural Networks, Computer Niacinamide Oligopeptides Positron-Emission Tomography Prostatic Neoplasms Radiopharmaceuticals

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Soul: An OCTA dataset based on Human Machine Collaborative Annotation Framework.

Scientific data 39095383

Branch retinal vein occlusion (BRVO) is the most prevalent retinal vascular disease that constitutes a threat to vision due to increased venous pressure caused by venous effluent in the space, leading to impaired visual function. Optical Coherence To...

Datasets as Topic Humans Machine Learning Retinal Vein Occlusion Retinal Vessels Tomography, Optical Coherence

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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 39090504

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 ...

Data Mining Datasets as Topic Deep Learning Dermoscopy Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Melanoma Neural Networks, Computer Skin Neoplasms

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KGRACDA: A Model Based on Knowledge Graph from Recursion and Attention Aggregation for CircRNA-Disease Association Prediction.

IEEE/ACM transactions on computational biology and bioinformatics 39167510

CircRNA is closely related to human disease, so it is important to predict circRNA-disease association (CDA). However, the traditional biological detection methods have high difficulty and low accuracy, and computational methods represented by deep l...

Computational Biology Databases, Genetic Datasets as Topic Genetic Predisposition to Disease Humans Knowledge Bases Models, Genetic RNA, Circular

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Comparative Analysis of Machine-Learning Model Performance in Image Analysis: The Impact of Dataset Diversity and Size.

Anesthesia and analgesia 39116018

BACKGROUND: This study presents an analysis of machine-learning model performance in image analysis, with a specific focus on videolaryngoscopy procedures. The research aimed to explore how dataset diversity and size affect the performance of machine...

Datasets as Topic Humans Image Processing, Computer-Assisted Laryngoscopy Machine Learning Social Media Video Recording

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Utilizing active learning strategies in machine-assisted annotation for clinical named entity recognition: a comprehensive analysis considering annotation costs and target effectiveness.

Journal of the American Medical Informatics Association : JAMIA 39081233

OBJECTIVES: Active learning (AL) has rarely integrated diversity-based and uncertainty-based strategies into a dynamic sampling framework for clinical named entity recognition (NER). Machine-assisted annotation is becoming popular for creating gold-s...

Datasets as Topic Electronic Health Records Humans Natural Language Processing Supervised Machine Learning

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AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Improved robustness for deep learning-based segmentation of multi-center myocardial perfusion cardiovascular MRI datasets using data-adaptive uncertainty-guided space-time analysis.

Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging.

Partial coherence enhances parallelized photonic computing.

Has your paper been used to train an AI model? Almost certainly.

The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on F-PSMA-1007 PET.

Soul: An OCTA dataset based on Human Machine Collaborative Annotation Framework.

Adaptive neighborhood triplet loss: enhanced segmentation of dermoscopy datasets by mining pixel information.

KGRACDA: A Model Based on Knowledge Graph from Recursion and Attention Aggregation for CircRNA-Disease Association Prediction.

Comparative Analysis of Machine-Learning Model Performance in Image Analysis: The Impact of Dataset Diversity and Size.

Utilizing active learning strategies in machine-assisted annotation for clinical named entity recognition: a comprehensive analysis considering annotation costs and target effectiveness.

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