AIMC Topic: Deep Learning

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Liver margin segmentation in abdominal CT images using U-Net and Detectron2: annotated dataset for deep learning models.

Scientific reports Mar 13, 2025
The segmentation of liver margins in computed tomography (CT) images presents significant challenges due to the complex anatomical variability of the liver, with critical implications for medical diagnostics and treatment planning. In this study, we ...
Liver Tomography, X-Ray Computed Iran Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Deep learning based agricultural pest monitoring and classification.

Scientific reports Mar 13, 2025
Precise pest classification plays an essential role in smart agriculture. Crop yields are severely impacted by pest damage, which poses a critical challenge for agricultural production and the economy. Identifying pests is of utmost importance, but m...
Deep Learning Neural Networks, Computer Pest Control Image Processing, Computer-Assisted Agriculture Crops, Agricultural
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Attention-enhanced and integrated deep learning approach for fishing vessel classification based on multiple features.

Scientific reports Mar 13, 2025
Effective fisheries management is the key to achieve sustainable fisheries globally, while accurate monitoring of fishing vessels is essential to improve the effectiveness of management measures. Self-reported information on vessel types is often lim...
Neural Networks, Computer Animals Deep Learning Fisheries Fishes
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Multi-domain Urdu fake news detection using pre-trained ensemble model.

Scientific reports Mar 13, 2025
Fake News (FN) dissemination on websites and online platforms influences human behaviours, socio-political domains, and the sovereignty of a country. The outpour of biased news and propaganda on online portals can be addressed by restricting online p...
Deception Humans Natural Language Processing Internet Machine Learning Language Deep Learning
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Enhancing yeast cell tracking with a time-symmetric deep learning approach.

NPJ systems biology and applications Mar 13, 2025
Accurate tracking of live cells using video microscopy recordings remains a challenging task for popular state-of-the-art image processing-based object tracking methods. In recent years, many applications have attempted to integrate deep-learning fra...
Algorithms Deep Learning Saccharomyces cerevisiae Cell Tracking Image Processing, Computer-Assisted Microscopy, Video
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Multi-dimensional interpretable deep learning-radiomics based on intra-tumoral and spatial habitat for preoperative prediction of thymic epithelial tumours risk categorisation.

Acta oncologica (Stockholm, Sweden) Mar 13, 2025
BACKGROUND AND PURPOSE: This study aims to develop and compare combined models based on enhanced CT-based radiomics, multi-dimensional deep learning, clinical-conventional imaging and spatial habitat analysis to achieve accurate prediction of thymoma...
Neoplasms, Glandular and Epithelial Thymus Neoplasms Deep Learning ROC Curve Adult Radiomics Tomography, X-Ray Computed Middle Aged Male Female Risk Assessment Humans Aged
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Exploring the repository of de novo-designed bifunctional antimicrobial peptides through deep learning.

eLife Mar 13, 2025
Antimicrobial peptides (AMPs) are attractive candidates to combat antibiotic resistance for their capability to target biomembranes and restrict a wide range of pathogens. It is a daunting challenge to discover novel AMPs due to their sparse distribu...
Acinetobacter baumannii Antimicrobial Peptides Antiviral Agents Mice Anti-Bacterial Agents Animals Deep Learning Microbial Sensitivity Tests Drug Design Humans
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Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks.

Scientific reports Mar 13, 2025
Parkinson's disease is a neurodegenerative disorder that is associated with aging, leading to the progressive deterioration of certain regions of the brain. Accurate and timely diagnosis plays a crucial role in facilitating optimal therapy and improv...
Humans Deep Learning Aged Parkinson Disease Male Autoencoder Neural Networks, Computer Middle Aged Female
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Exploring the application of deep learning methods for polygenic risk score estimation.

Biomedical physics & engineering express Mar 13, 2025
. Polygenic risk scores (PRS) summarise genetic information into a single number with clinical and research uses. Deep learning (DL) has revolutionised multiple fields, however, the impact of DL on PRSs has been less significant. We explore how DL ca...
Deep Learning Genome-Wide Association Study ROC Curve Risk Factors Risk Assessment United Kingdom Multifactorial Inheritance Genetic Risk Score Polymorphism, Single Nucleotide Models, Genetic Genetic Predisposition to Disease Humans Algorithms
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Deep learning and robotics enabled approach for audio based emotional pragmatics deficits identification in social communication disorders.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Mar 13, 2025
The aim of this study is to develop Deep Learning (DL) enabled robotic systems to identify audio-based emotional pragmatics deficits in individuals with social pragmatic communication deficits. The novelty of the work stems from its integration of de...
Humans Robotics Social Communication Disorder Deep Learning Emotions
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