AIMC Topic: Deep Learning
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A feature explainability-based deep learning technique for diabetic foot ulcer identification.
Scientific reports
Feb 25, 2025
Diabetic foot ulcers (DFUs) are a common and serious complication of diabetes, presenting as open sores or wounds on the sole. They result from impaired blood circulation and neuropathy associated with diabetes, increasing the risk of severe infectio...
Development of weighted residual RNN model with hybrid heuristic algorithm for movement recognition framework in ambient assisted living.
Scientific reports
Feb 25, 2025
In healthcare applications, automatic and intelligent movement recognition systems in Ambient Assisted Living (AAL) are designed for elderly and disabled persons. The AAL provides assistance as well as secure feelings to disabled persons and elderly ...
Deep learning-based Intraoperative MRI reconstruction.
European radiology experimental
Feb 25, 2025
BACKGROUND: We retrospectively evaluated the quality of deep learning (DL) reconstructions of on-scanner accelerated intraoperative MRI (iMRI) during respective brain tumor surgery.
RAE-Net: a multi-modal neural network based on feature fusion and evidential deep learning algorithm in predicting breast cancer subtypes on DCE-MRI.
Biomedical physics & engineering express
Feb 25, 2025
Accurate identification of molecular subtypes in breast cancer is critical for personalized treatment. This study introduces a novel neural network model, RAE-Net, based on Multimodal Feature Fusion (MFF) and the Evidential Deep Learning Algorithm (E...
Chinese medical named entity recognition utilizing entity association and gate context awareness.
PloS one
Feb 25, 2025
Recognizing medical named entities is a crucial aspect of applying deep learning in the medical domain. Automated methods for identifying specific entities from medical literature or other texts can enhance the efficiency and accuracy of information ...
Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study.
Computer assisted surgery (Abingdon, England)
Feb 24, 2025
This study evaluates the performance of deep learning models in the prediction of the end time of procedures performed in the cardiac catheterization laboratory (cath lab). We employed only the clinical phases derived from video analysis as input to ...
DeepTree-AAPred: Binary tree-based deep learning model for anti-angiogenic peptides prediction.
Journal of molecular graphics & modelling
Feb 24, 2025
Anti-angiogenic peptides (AAPs) show important potential in tumor therapy by limiting the growth and metastasis of tumor cells. Accurate prediction of AAPs is of very positive significance for the therapeutic efficacy of tumors. The high cost of wet ...
Deep Learning-Enhanced Ultra-high-resolution CT Imaging for Superior Temporal Bone Visualization.
Academic radiology
Feb 24, 2025
RATIONALE AND OBJECTIVES: This study assesses the image quality of temporal bone ultra-high-resolution (UHR) Computed tomography (CT) scans in adults and children using hybrid iterative reconstruction (HIR) and a novel, vendor-specific deep learning-...
Recent advances in AI-driven protein-ligand interaction predictions.
Current opinion in structural biology
Feb 24, 2025
Structure-based drug discovery is a fundamental approach in modern drug development, leveraging computational models to predict protein-ligand interactions. AI-driven methodologies are significantly improving key aspects of the field, including ligan...
MSTNet: Multi-scale spatial-aware transformer with multi-instance learning for diabetic retinopathy classification.
Medical image analysis
Feb 24, 2025
Diabetic retinopathy (DR), the leading cause of vision loss among diabetic adults worldwide, underscores the importance of early detection and timely treatment using fundus images to prevent vision loss. However, existing deep learning methods strugg...
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