AIMC Topic: Algorithms

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Histopathological-based brain tumor grading using 2D-3D multi-modal CNN-transformer combined with stacking classifiers.

Scientific reports Jul 30, 2025
Reliability in diagnosing and treating brain tumors depends on the accurate grading of histopathological images. However, limited scalability, adaptability, and interpretability challenge current methods for frequently grading brain tumors to accurat...
Brain Neoplasms Machine Learning Deep Learning Humans Algorithms Imaging, Three-Dimensional Neural Networks, Computer Reproducibility of Results Image Processing, Computer-Assisted Neoplasm Grading
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WSDC-ViT: a novel transformer network for pneumonia image classification based on windows scalable attention and dynamic rectified linear unit convolutional modules.

Scientific reports Jul 30, 2025
Accurate differential diagnosis of pneumonia remains a challenging task, as different types of pneumonia require distinct treatment strategies. Early and precise diagnosis is crucial for minimizing the risk of misdiagnosis and for effectively guiding...
Algorithms Tomography, X-Ray Computed Diagnosis, Computer-Assisted Humans Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Image Processing, Computer-Assisted Diagnosis, Differential Pneumonia
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Machine learning models based on routine blood and biochemical test data for diagnosis of neurological diseases.

Scientific reports Jul 30, 2025
Globally, nervous system diseases are the leading cause of disability-adjusted life-years and the second leading cause of mortality in the world. Traditional diagnostic methods for nervous system diseases are expensive. So this study aimed to constru...
Male Middle Aged Support Vector Machine Nervous System Diseases ROC Curve Algorithms Female Adult Humans Neural Networks, Computer Machine Learning
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CYCLONE: recycle contrastive learning for integrating single-cell gene expression data.

BMC bioinformatics Jul 30, 2025
BACKGROUND: Combining single-cell transcriptome sequencing results from several batches reduces batch effect, which improves our understanding of cellular identity and function.
Single-Cell Analysis Algorithms Humans Gene Expression Profiling Machine Learning Transcriptome
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Contrastive learning-driven framework for neuron morphology classification.

Scientific reports Jul 30, 2025
The Neuron morphology classification is a critical task in neuroscience research, as the morphological features of neurons are closely linked to the functional characteristics of neural circuits. However, traditional classification methods often stru...
Models, Neurological Neurons Humans Machine Learning Neural Networks, Computer Algorithms
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A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference.

Scientific reports Jul 30, 2025
Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabling early detection, diagnosis, treatment planning, and disease monitoring. However, sharing sensitive raw medical data with third parties for analysi...
Computer Security Algorithms Deep Learning Confidentiality Privacy Image Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning
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AI search, physician removal: Bronchoscopy robot bridges collaboration in foreign body aspiration.

Science robotics Jul 30, 2025
Bronchial foreign body aspiration is a life-threatening condition with a high incidence across diverse populations, requiring urgent diagnosis and treatment. However, the limited availability of skilled practitioners and advanced medical equipment in...
Artificial Intelligence Machine Learning Algorithms Humans Animals Bronchoscopy Equipment Design Physicians Tomography, X-Ray Computed Bronchoscopes Foreign Bodies Respiratory Aspiration Robotic Surgical Procedures Bronchi
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An optimized multi-scale dilated attention layer for keratoconus disease classification.

International ophthalmology Jul 30, 2025
INTRODUCTION: Keratoconus (KCN) is a progressive and non-inflammatory corneal disorder characterized by thinning and conical deformation of the cornea, resulting in visual impairment. Early and accurate detection is crucial to prevent disease progres...
Deep Learning Keratoconus Corneal Topography Algorithms Cornea Humans
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Machine learning approaches for predicting the link of the global trade network of liquefied natural gas.

PloS one Jul 30, 2025
With the rising geopolitical tensions, predicting future trade partners has become a critical topic for the global community. Liquefied natural gas (LNG), recognized as the cleanest burning hydrocarbon, plays a significant role in the transition to a...
Machine Learning Algorithms Natural Gas Commerce
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Features extraction based on Naive Bayes algorithm and TF-IDF for news classification.

PloS one Jul 30, 2025
The rapid proliferation of online news demands robust automated classification systems to enhance information organization and personalized recommendation. Although traditional methods like TF-IDF with Naive Bayes provide foundational solutions, thei...
Natural Language Processing Bayes Theorem Semantics Machine Learning Algorithms Humans
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