AIMC Topic: Datasets as Topic

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Deep Learning and Machine Learning Algorithms for Retinal Image Analysis in Neurodegenerative Disease: Systematic Review of Datasets and Models.

Translational vision science & technology Feb 1, 2024
PURPOSE: Retinal images contain rich biomarker information for neurodegenerative disease. Recently, deep learning models have been used for automated neurodegenerative disease diagnosis and risk prediction using retinal images with good results.
Humans Retina Alzheimer Disease Datasets as Topic Machine Learning Algorithms Deep Learning Neurodegenerative Diseases
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Accurate diagnosis of COVID-19 from lung CT images using transfer learning.

European review for medical and pharmacological sciences Feb 1, 2024
OBJECTIVE: In this study, it is aimed to classify data by feature extraction from tomographic images for the diagnosis of COVID-19 using image processing and transfer learning.
Tomography, X-Ray Computed Lung COVID-19 Testing Machine Learning Humans COVID-19 Artificial Intelligence Datasets as Topic
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RealMedQA: A pilot biomedical question answering dataset containing realistic clinical questions.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Clinical question answering systems have the potential to provide clinicians with relevant and timely answers to their questions. Nonetheless, despite the advances that have been made, adoption of these systems in clinical settings has been slow. One...
Pilot Projects Natural Language Processing Datasets as Topic Humans
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Deep Learning Models for Coronary Atherosclerosis Detection in Coronary CT Angiography.

Current medical imaging Jan 1, 2024
BACKGROUND: Patients with atherosclerosis have a rather high risk of showing complications, if not diagnosed quickly and efficiently.
Predictive Value of Tests Coronary Angiography Coronary Artery Disease Risk Assessment Deep Learning Wavelet Analysis Computed Tomography Angiography Image Interpretation, Computer-Assisted Datasets as Topic Humans Neural Networks, Computer
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A Comparative Study of Deep Learning Methods for Multi-Class Semantic Segmentation of 2D Kidney Ultrasound Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Ultrasound (US) imaging is a widely used medical imaging modality for the diagnosis, monitoring, and surgical planning for kidney conditions. Thus, accurate segmentation of the kidney and internal structures in US images is essential for the assessme...
Kidney Datasets as Topic Semantics Diagnosis, Computer-Assisted Deep Learning Humans
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COVID-19 disease identification network based on weakly supervised feature selection.

Mathematical biosciences and engineering : MBE Mar 16, 2023
The coronavirus disease 2019 (COVID-19) outbreak has resulted in countless infections and deaths worldwide, posing increasing challenges for the health care system. The use of artificial intelligence to assist in diagnosis not only had a high accurac...
Humans Supervised Machine Learning Neural Networks, Computer Datasets as Topic COVID-19
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A review on multimodal machine learning in medical diagnostics.

Mathematical biosciences and engineering : MBE Mar 6, 2023
Nowadays, the increasing number of medical diagnostic data and clinical data provide more complementary references for doctors to make diagnosis to patients. For example, with medical data, such as electrocardiography (ECG), machine learning algorith...
Machine Learning Diagnostic Imaging Humans Datasets as Topic
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On the effectiveness of compact biomedical transformers.

Bioinformatics (Oxford, England) Mar 1, 2023
MOTIVATION: Language models pre-trained on biomedical corpora, such as BioBERT, have recently shown promising results on downstream biomedical tasks. Many existing pre-trained models, on the other hand, are resource-intensive and computationally heav...
Datasets as Topic Natural Language Processing PubMed
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An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representation.

IEEE journal of biomedical and health informatics Feb 1, 2023
High Resolution (HR) medical images provide rich anatomical structure details to facilitate early and accurate diagnosis. In magnetic resonance imaging (MRI), restricted by hardware capacity, scan time, and patient cooperation ability, isotropic 3-di...
Magnetic Resonance Imaging Datasets as Topic Health Signal-To-Noise Ratio Deep Learning Imaging, Three-Dimensional Algorithms Brain Humans Neural Networks, Computer
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Statistical and Machine Learning Methods for Discovering Prognostic Biomarkers for Survival Outcomes.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2023
Discovering molecular biomarkers for predicting patient survival outcomes is an essential step toward improving prognosis and therapeutic decision-making in the treatment of severe diseases such as cancer. Due to the high-dimensionality nature of omi...
Programming Languages Survival Analysis Kaplan-Meier Estimate Prognosis Lung Neoplasms Datasets as Topic Machine Learning Male Humans Female Biomarkers, Tumor Head and Neck Neoplasms Biomarkers Proportional Hazards Models Neural Networks, Computer Deep Learning
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