AIMC Topic: Neural Networks, Computer

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Leveraging an ensemble of EfficientNetV1 and EfficientNetV2 models for classification and interpretation of breast cancer histopathology images.

Scientific reports Jul 1, 2025
Breast cancer is the second leading cause of cancer-related deaths among women, following lung cancer, as of 2024. Conventional cancer diagnosis relies on the manual examination of biopsied tissues by pathologists, a time-consuming process that may v...
Female Breast Neoplasms Diagnosis, Computer-Assisted Humans Image Processing, Computer-Assisted Neural Networks, Computer Image Interpretation, Computer-Assisted
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Determination of the oral carcinoma and sarcoma in contrast enhanced CT images using deep convolutional neural networks.

Scientific reports Jul 1, 2025
Oral cancer is a hazardous disease and a major cause of morbidity and mortality worldwide. The purpose of this study was to develop the deep convolutional neural networks (CNN)-based multiclass classification and object detection models for distingui...
Mouth Neoplasms Sarcoma Convolutional Neural Networks Contrast Media Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning
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Multiscale wavelet attention convolutional network for facial expression recognition.

Scientific reports Jul 1, 2025
Deep learning techniques, particularly Convolutional Neural Networks (CNNs), have been widely recognized as effective tools for facial expression recognition applications. The accuracy of facial expression recognition application requires further enh...
Humans Facial Expression Neural Networks, Computer Wavelet Analysis Deep Learning Automated Facial Recognition
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A machine learning-based framework for predicting metabolic syndrome using serum liver function tests and high-sensitivity C-reactive protein.

Scientific reports Jul 1, 2025
Metabolic Syndrome (MetS) comprises a clustering of conditions that significantly increase the risk of heart disease, stroke, and diabetes. Timely detection and intervention are crucial in preventing severe health outcomes. In this study, we implemen...
Aged Adult Male Middle Aged Support Vector Machine Metabolic Syndrome Algorithms Humans Bilirubin Biomarkers Neural Networks, Computer Liver Function Tests Female C-Reactive Protein Machine Learning Alanine Transaminase Aspartate Aminotransferases
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An advanced fire detection system for assisting visually challenged people using recurrent neural network and sea-horse optimizer algorithm.

Scientific reports Jul 1, 2025
The developing elderly population undergoes a high level of eyesight and mental impairment, which frequently results in a defeat of independence. That kind of person should do vital daily tasks like heating and cooking, with methods and devices inten...
Recurrent Neural Networks Neural Networks, Computer Humans Artificial Intelligence Fires Algorithms Blindness Persons with Visual Disabilities
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CFM-UNet: coupling local and global feature extraction networks for medical image segmentation.

Scientific reports Jul 1, 2025
In medical image segmentation, traditional CNN-based models excel at extracting local features but have limitations in capturing global features. Conversely, Mamba, a novel network framework, effectively captures long-range feature dependencies and e...
Image Processing, Computer-Assisted Liver Colonic Polyps Neural Networks, Computer Algorithms Liver Neoplasms Humans
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Machine learning-based model for behavioural analysis in rodents applied to the forced swim test.

Scientific reports Jul 1, 2025
The Forced Swim Test (FST) is a widely used preclinical model for assessing antidepressant efficacy, studying stress response, and evaluating depressive-like behaviours in rodents. Over the last 10 years, more than 5500 scientific articles reporting ...
Rats Disease Models, Animal Swimming Male Depression Desipramine Behavior, Animal Antidepressive Agents Fluoxetine Neural Networks, Computer Machine Learning Animals
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Transformer attention fusion for fine grained medical image classification.

Scientific reports Jul 1, 2025
Fine-grained visual classification is fundamental for medical image applications because it detects minor lesions. Diabetic retinopathy (DR) is a preventable cause of blindness, which requires exact and timely diagnosis to prevent vision damage. The ...
Humans Diabetic Retinopathy Image Processing, Computer-Assisted Neural Networks, Computer Image Interpretation, Computer-Assisted Algorithms
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A hybrid compound scaling hypergraph neural network for robust cervical cancer subtype classification using whole slide cytology images.

Scientific reports Jul 1, 2025
Cervical cancer is a major cause of mortality among women, particularly in low-income countries with insufficient screening programs. Manual cytological examination is time-consuming, error-prone and subject to inter-observer variability. Automated a...
Neural Networks, Computer Female Uterine Cervical Neoplasms Deep Learning Cytodiagnosis Humans
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EEG based real time classification of consecutive two eye blinks for brain computer interface applications.

Scientific reports Jul 1, 2025
Human eye blinks are considered a significant contaminant or artifact in electroencephalogram (EEG), which impacts EEG-based medical or scientific applications. However, eye blink detection can instead be transformed into a potential application of b...
Female Young Adult Adult Neural Networks, Computer Machine Learning Brain Signal Processing, Computer-Assisted Humans Male Brain-Computer Interfaces Support Vector Machine Blinking Electroencephalography
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