AIMC Topic: Datasets as Topic

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Empowering entity synonym set generation using flexible perceptual field and multi-layer contextual information.

PloS one Apr 21, 2025
Automatic generation of entity synonyms plays a pivotal role in various natural language processing applications, such as search engines, question-answering systems, and taxonomy construction. Previous research on generating entity synonym sets has t...
Datasets as Topic Neural Networks, Computer Vocabulary Algorithms Natural Language Processing
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Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods.

Scientific reports Apr 17, 2025
Subtraction computed tomography angiography (sCTA) can effectively separate enhanced cerebral arteries from similar signal intensity and proximity (i.e., vertebrae and skull). However, sCTA is not considered mainstream because of the high radiation d...
Deep Learning Image Processing, Computer-Assisted Datasets as Topic Humans Algorithms Radiation Dosage Computed Tomography Angiography Cerebral Arteries
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AI drug development's data problem.

Science (New York, N.Y.) Apr 10, 2025
The future of drug discovery may be artificial intelligence (AI), but its present is not. AI is in its infancy in the field. To help AI mature, developers need nonproprietary, open, large, high-quality datasets to train and validate models, managed b...
Humans Artificial Intelligence Machine Learning Drug Discovery Drug Development Datasets as Topic
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Identifying chemotherapy beneficiaries in nasal and paranasal sinus cancers: epidemiological trends and machine learning insights.

European journal of medical research Apr 1, 2025
BACKGROUND: Studies on the epidemiological characteristics, treatment strategies and prognosis of nasal and paranasal sinus cancer are still relatively limited.
Datasets as Topic Paranasal Sinus Neoplasms Machine Learning Prognosis Female Aged Humans Middle Aged Aged, 80 and over Incidence Male Area Under Curve
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PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 19, 2025
BACKGROUND: In the HECKTOR 2022 challenge set [1], several state-of-the-art (SOTA, achieving best performance) deep learning models were introduced for predicting recurrence-free period (RFP) in head and neck cancer patients using PET and CT images.
Tomography, X-Ray Computed Female Aged Humans Datasets as Topic Male Convolutional Neural Networks Oropharyngeal Neoplasms Middle Aged Positron Emission Tomography Computed Tomography Deep Learning
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A Novel Fusion Framework Combining Graph Embedding Class-Based Convolutional Recurrent Attention Network with Brown Bear Optimization Algorithm for EEG-Based Parkinson's Disease Recognition.

Journal of molecular neuroscience : MN Mar 15, 2025
Parkinson's disease recognition (PDR) involves identifying Parkinson's disease using clinical evaluations, imaging studies, and biomarkers, focusing on early symptoms like tremors, rigidity, and bradykinesia to facilitate timely treatment. However, d...
Electroencephalography Humans Datasets as Topic Convolutional Neural Networks Machine Learning Algorithms Parkinson Disease
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Development of a MVI associated HCC prognostic model through single cell transcriptomic analysis and 101 machine learning algorithms.

Scientific reports Mar 7, 2025
Hepatocellular carcinoma (HCC) is an exceedingly aggressive form of cancer that often carries a poor prognosis, especially when it is complicated by the presence of microvascular invasion (MVI). Identifying patients at high risk of MVI is crucial for...
Risk Assessment Liver Neoplasms Carcinoma, Hepatocellular Single-Cell Gene Expression Analysis Immunotherapy Kaplan-Meier Estimate Gene Expression Regulation, Neoplastic Microvessels Prognosis Meta-Analysis as Topic Immune Checkpoint Proteins Clinical Decision-Making Humans Treatment Outcome Mutation Biomarkers, Tumor Machine Learning Neoplasm Invasiveness Datasets as Topic Precision Medicine Liver
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Automatic Segmentation of Bone Graft in Maxillary Sinus via Distance Constrained Network Guided by Prior Anatomical Knowledge.

IEEE journal of biomedical and health informatics Mar 6, 2025
Maxillary Sinus Lifting is a crucial surgical procedure for addressing insufficient alveolar bone mass andsevere resorption in dental implant therapy. To accurately analyze the geometry changesof the bone graft (BG) in the maxillary sinus (MS), it is...
Alveolar Ridge Augmentation Artifacts Datasets as Topic Postoperative Period Preoperative Period Maxillary Sinus Maxilla Humans Deep Learning Image Processing, Computer-Assisted
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Rethinking model prototyping through the MedMNIST+ dataset collection.

Scientific reports Mar 5, 2025
The integration of deep learning based systems in clinical practice is often impeded by challenges rooted in limited and heterogeneous medical datasets. In addition, the field has increasingly prioritized marginal performance gains on a few, narrowly...
Deep Learning Image Processing, Computer-Assisted Datasets as Topic Algorithms Databases, Factual Humans Neural Networks, Computer
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Enhanced U-Net for Infant Brain MRI Segmentation: A (2+1)D Convolutional Approach.

Sensors (Basel, Switzerland) Feb 28, 2025
BACKGROUND: Infant brain tissue segmentation from MRI data is a critical task in medical imaging, particularly challenging due to the evolving nature of tissue contrasts in the early months of life. The difficulty increases as gray matter (GM) and wh...
Datasets as Topic Gray Matter White Matter Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Cerebrospinal Fluid Infant Humans Deep Learning Spatio-Temporal Analysis Convolutional Neural Networks Imaging, Three-Dimensional
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