AIMC Topic: Datasets as Topic

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Diabetic retinopathy detection based on mobile maxout network and weber local descriptor feature selection using retinal fundus image.

Scientific reports Apr 22, 2025
Retinal screening provides for earlier detection of diabetic retinopathy (DR) as well as prompt diagnosis. Recognizing DR utilizing color fundus imaging needs qualified specialists to know about the presence and significance of a few insignificant fe...
Sensitivity and Specificity Convolutional Neural Networks Retina Datasets as Topic Humans Diabetic Retinopathy
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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...
Neural Networks, Computer Natural Language Processing Algorithms Datasets as Topic Vocabulary
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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...
Radiation Dosage Computed Tomography Angiography Cerebral Arteries Deep Learning Image Processing, Computer-Assisted Datasets as Topic Humans Algorithms
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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...
Drug Discovery Drug Development Datasets as Topic Humans Artificial Intelligence Machine Learning
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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.
Paranasal Sinus Neoplasms Aged, 80 and over Male Middle Aged Incidence Prognosis Humans Area Under Curve Female Machine Learning Datasets as Topic Aged
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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.
Female Aged Male Humans Tomography, X-Ray Computed Positron Emission Tomography Computed Tomography Datasets as Topic Oropharyngeal Neoplasms Middle Aged Deep Learning Convolutional Neural Networks
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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...
Humans Electroencephalography Convolutional Neural Networks Datasets as Topic Parkinson Disease Machine Learning Algorithms
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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...
Datasets as Topic Kaplan-Meier Estimate Microvessels Immune Checkpoint Proteins Prognosis Liver Clinical Decision-Making Treatment Outcome Biomarkers, Tumor Meta-Analysis as Topic Neoplasm Invasiveness Mutation Humans Single-Cell Gene Expression Analysis Risk Assessment Immunotherapy Machine Learning Liver Neoplasms Gene Expression Regulation, Neoplastic Precision Medicine Carcinoma, Hepatocellular
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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 Deep Learning Maxillary Sinus Image Processing, Computer-Assisted Humans Maxilla Artifacts Datasets as Topic Postoperative Period Preoperative Period
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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...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Datasets as Topic Algorithms Databases, Factual Deep Learning
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