AIMC Topic: Datasets as Topic

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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.
Risk Assessment Deep Learning Predictive Value of Tests Humans Neural Networks, Computer Datasets as Topic Wavelet Analysis Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Image Interpretation, Computer-Assisted
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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...
Diagnosis, Computer-Assisted Deep Learning Datasets as Topic Semantics Humans Kidney
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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 Neural Networks, Computer COVID-19 Supervised Machine Learning Datasets as Topic
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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...
Humans Machine Learning Diagnostic Imaging 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...
PubMed Natural Language Processing Datasets as Topic
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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...
Signal-To-Noise Ratio Health Brain Deep Learning Magnetic Resonance Imaging Datasets as Topic Imaging, Three-Dimensional Humans Neural Networks, Computer Algorithms
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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...
Proportional Hazards Models Kaplan-Meier Estimate Humans Machine Learning Biomarkers Lung Neoplasms Neural Networks, Computer Biomarkers, Tumor Head and Neck Neoplasms Male Survival Analysis Programming Languages Prognosis Deep Learning Datasets as Topic Female
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NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning.

Nucleic acids research Jul 5, 2022
Recent advances in machine learning and natural language processing have made it possible to profoundly advance our ability to accurately predict protein structures and their functions. While such improvements are significantly impacting the fields o...
Protein Structure, Secondary Deep Learning Software Amino Acid Sequence Time Factors Computers Natural Language Processing Solvents Proteins Datasets as Topic Internet
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The derivation of an International Classification of Diseases, Tenth Revision-based trauma-related mortality model using machine learning.

The journal of trauma and acute care surgery Mar 1, 2022
BACKGROUND: Existing mortality prediction models have attempted to quantify injury burden following trauma-related admissions with the most notable being the Injury Severity Score (ISS). Although easy to calculate, it requires additional administrati...
Datasets as Topic Humans Machine Learning International Classification of Diseases Wounds and Injuries Decision Trees Survival Analysis
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Organism-specific training improves performance of linear B-cell epitope prediction.

Bioinformatics (Oxford, England) Dec 11, 2021
MOTIVATION: In silico identification of linear B-cell epitopes represents an important step in the development of diagnostic tests and vaccine candidates, by providing potential high-probability targets for experimental investigation. Current predict...
Sequence Analysis, Protein Epitope Mapping Datasets as Topic Epitopes, B-Lymphocyte Humans Species Specificity Animals Machine Learning
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