AIMC Topic: Deep Learning

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SegFormer3D: Improving the Robustness of Deep Learning Model-Based Image Segmentation in Ultrasound Volumes of the Pediatric Hip.

Ultrasound in medicine & biology Feb 19, 2025
Developmental dysplasia of the hip (DDH) is a painful orthopedic malformation diagnosed at birth in 1-3% of all newborns. Left untreated, DDH can lead to significant morbidity including long-term disability. Currently the condition is clinically diag...
Infant Deep Learning Imaging, Three-Dimensional Developmental Dysplasia of the Hip Ultrasonography Female Infant, Newborn Male Humans
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Simulation of human-vehicle interaction at right-turn unsignalized intersections: A game-theoretic deep maximum entropy inverse reinforcement learning method.

Accident; analysis and prevention Feb 19, 2025
The safety of pedestrians in urban transportation systems has emerged as a significant research topic. As a vulnerable group within this transportation framework, pedestrians encounter heightened safety risks in complex urban road environments. Prote...
Algorithms Computer Simulation Deep Learning Humans Markov Chains Pedestrians Environment Design Game Theory Reinforcement, Psychology Entropy Accidents, Traffic Walking Safety
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A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification.

Artificial intelligence in medicine Feb 19, 2025
Skin cancer is frequently occurring and has become a major contributor to both cancer incidence and mortality. Accurate and timely diagnosis of skin cancer holds the potential to save lives. Deep learning-based methods have demonstrated significant a...
Image Interpretation, Computer-Assisted Skin Neoplasms Dermoscopy Deep Learning Humans Algorithms
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Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review.

Artificial intelligence in medicine Feb 19, 2025
Neonatal jaundice is a common and potentially fatal health condition in neonates, especially in low and middle income countries, where it contributes considerably to neonatal morbidity and death. Traditional diagnostic approaches, such as Total Serum...
Smartphone Humans Neural Networks, Computer Infant, Newborn Bilirubin Artificial Intelligence Deep Learning Jaundice, Neonatal Machine Learning
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A novel generative model for brain tumor detection using magnetic resonance imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 19, 2025
Brain tumors are a disease that kills thousands of people worldwide each year. Early identification through diagnosis is essential for monitoring and treating patients. The proposed study brings a new method through intelligent computational cells th...
Brain Neoplasms Image Interpretation, Computer-Assisted Humans Deep Learning Magnetic Resonance Imaging Algorithms
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C-UQ: Conflict-based uncertainty quantification-A case study in lung cancer classification.

Computers in biology and medicine Feb 19, 2025
Uncertainty quantification is crucial in deep learning, especially in medical diagnostics, to measure model prediction confidence and ensure reliable clinical decisions. This study introduces a novel conflict-based uncertainty quantification approach...
Uncertainty Humans Deep Learning Neural Networks, Computer Lung Neoplasms Databases, Factual
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Parkinson's disease tremor prediction towards real-time suppression: A self-attention deep temporal convolutional network approach.

Computers in biology and medicine Feb 19, 2025
Accurate prediction of Parkinson's disease tremor (PDT) is crucial for developing assistive technologies; however, this is challenging due to the nonlinear, stochastic, and nonstationary characteristics of PDT, which substantially vary among patients...
Signal Processing, Computer-Assisted Tremor Deep Learning Parkinson Disease Humans Female Neural Networks, Computer Male
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Multimodal deep learning fusion of ultrafast-DCE MRI and clinical information for breast lesion classification.

Computers in biology and medicine Feb 19, 2025
BACKGROUND: Breast cancer is the most common cancer worldwide, and magnetic resonance imaging (MRI) constitutes a very sensitive technique for invasive cancer detection. When reviewing breast MRI examination, clinical radiologists rely on multimodal ...
Contrast Media Magnetic Resonance Imaging Breast Middle Aged Deep Learning Image Interpretation, Computer-Assisted Retrospective Studies Female Adult Breast Neoplasms Aged Humans
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RAG_MCNNIL6: A Retrieval-Augmented Multi-Window Convolutional Network for Accurate Prediction of IL-6 Inducing Epitopes.

Journal of chemical information and modeling Feb 19, 2025
Interleukin-6 (IL-6) is a critical cytokine involved in immune regulation, inflammation, and the pathogenesis of various diseases, including autoimmune disorders, cancer, and the cytokine storm associated with severe COVID-19. Identifying IL-6 induci...
Humans Neural Networks, Computer SARS-CoV-2 Deep Learning Epitopes COVID-19 Interleukin-6
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A deep learning approach: physics-informed neural networks for solving a nonlinear telegraph equation with different boundary conditions.

BMC research notes Feb 19, 2025
The nonlinear Telegraph equation appears in a variety of engineering and science problems. This paper presents a deep learning algorithm termed physics-informed neural networks to resolve a hyperbolic nonlinear telegraph equation with Dirichlet, Neum...
Nonlinear Dynamics Algorithms Deep Learning Neural Networks, Computer
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