AIMC Topic: Deep Learning

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Diagnosis of unilateral vocal fold paralysis using auto-diagnostic deep learning model.

Scientific reports Jul 29, 2025
Unilateral vocal fold paralysis (UVFP) is a condition characterized by impaired vocal fold mobility, typically diagnosed using laryngeal videoendoscopy. While deep learning (DL) models using static images have been explored for UVFP detection, they o...
Middle Aged Aged Deep Learning Adult Video Recording Male Humans Vocal Cord Paralysis Female Vocal Cords Laryngoscopy
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A hybrid filtering and deep learning approach for early Alzheimer's disease identification.

Scientific reports Jul 29, 2025
Alzheimer's disease is a progressive neurological disorder that profoundly affects cognitive functions and daily activities. Rapid and precise identification is essential for effective intervention and improved patient outcomes. This research introdu...
Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Brain Alzheimer Disease Female Aged Male Deep Learning
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Deep learning-based automatic diagnosis of rice leaf diseases using ensemble CNN models.

Scientific reports Jul 29, 2025
Rice diseases pose a critical threat to global crop yields, underscoring the need for rapid and accurate diagnostic tools to ensure effective crop management and productivity. Traditional diagnostic approaches often lack both precision and scalabilit...
Neural Networks, Computer Deep Learning Oryza Plant Leaves Plant Diseases
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Interpretable graph Kolmogorov-Arnold networks for multi-cancer classification and biomarker identification using multi-omics data.

Scientific reports Jul 29, 2025
The integration of heterogeneous multi-omics datasets at a systems level remains a central challenge for developing analytical and computational models in precision cancer diagnostics. This paper introduces Multi-Omics Graph Kolmogorov-Arnold Network...
Humans Gene Regulatory Networks Computational Biology Multiomics MicroRNAs Gene Expression Regulation, Neoplastic DNA Methylation Gene Expression Profiling Deep Learning Protein Interaction Maps Algorithms Biomarkers, Tumor Neoplasms
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Indigenous wood species classification using a multi-stage deep learning with grad-CAM explainability and an ensemble technique for Northern Bangladesh.

PloS one Jul 29, 2025
Wood species recognition has recently emerged as a vital field in the realm of forestry and ecological conservation. Early studies in this domain have offered various methods for classifying distinct wood species found worldwide using data collected ...
Conservation of Natural Resources Wood Neural Networks, Computer Deep Learning Forests Bangladesh
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Differentiation of COVID-19 from other types of viral pneumonia and severity scoring on baseline chest radiographs: Comparison of deep learning with multi-reader evaluation.

PloS one Jul 29, 2025
Chest X-ray (CXR) imaging plays a pivotal role in the diagnosis and prognosis of viral pneumonia. However, distinguishing COVID-19 CXRs from other viral infections remains challenging due to highly similar radiographic features. Most existing deep le...
Diagnosis, Differential Radiography, Thoracic Community-Acquired Infections Middle Aged Severity of Illness Index Deep Learning COVID-19 Pneumonia, Viral Female SARS-CoV-2 Aged Adult Humans Male
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Affinity prediction of inhibitor-kinase based on mixture of experts enhanced by multimodal feature semantic analysis.

International journal of biological macromolecules Jul 28, 2025
Accurate identification of inhibitor-kinase binding affinity is crucial for drug discovery. However, many deep learning models often overlook high-order feature information from biological networks and face challenges related to the cold-start proble...
Humans Protein Binding Protein Kinases Semantics Protein Kinase Inhibitors Drug Discovery Deep Learning Protein Interaction Maps
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Prediction of 1p/19q state in glioma by integrated deep learning method based on MRI radiomics.

BMC cancer Jul 28, 2025
PURPOSE: To predict the 1p/19q molecular status of Lower-grade glioma (LGG) patients nondestructively, this study developed a deep learning (DL) approach using radiomic to provide a potential decision aid for clinical determination of molecular strat...
Retrospective Studies Female Aged Humans Neural Networks, Computer Deep Learning Glioma Magnetic Resonance Imaging Chromosome Deletion Chromosomes, Human, Pair 1 Chromosomes, Human, Pair 19 Brain Neoplasms Young Adult Male Adult Middle Aged Radiomics
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DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI.

BMC plant biology Jul 28, 2025
OBJECTIVE: The primary aim of this research is to develop an effective and robust model for identifying and classifying diseases in general fruits, particularly apples, guavas, mangoes, pomegranates, and oranges, utilizing computer vision techniques.
Plant Diseases Malus Neural Networks, Computer Deep Learning Fruit
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Classification of skin diseases with deep learning based approaches.

Scientific reports Jul 28, 2025
Skin diseases are one of the most common health problems that affect people of all ages around the world and significantly reduce the quality of life of individuals. Diseases of eczema, seborrheic dermatitis and skin cancer need to be diagnosed and c...
Support Vector Machine Skin Neoplasms Humans Dermatitis, Seborrheic Skin Diseases Male Eczema Deep Learning Algorithms Female
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