AIMC Topic: Convolutional Neural Networks

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CHMMConvScaleNet: a hybrid convolutional neural network and continuous hidden Markov model with multi-scale features for sleep posture detection.

Scientific reports Apr 10, 2025
Sleep posture, a vital aspect of sleep wellness, has become a crucial focus in sleep medicine. Studies show that supine posture can lead to a higher occurrence of obstructive sleep apnea, while lateral posture might reduce it. For bedridden patients,...
Hidden Markov Models Sleep Polysomnography Humans Neural Networks, Computer Female Convolutional Neural Networks Adult Posture Markov Chains Male
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Hybrid convolutional neural network and bi-LSTM model with EfficientNet-B0 for high-accuracy breast cancer detection and classification.

Scientific reports Apr 9, 2025
Breast cancer detection remains one of the most challenging problems in medical imaging. We propose a novel hybrid model that integrates Convolutional Neural Networks (CNNs), Bidirectional Long Short-Term Memory (Bi-LSTM) networks, and EfficientNet-B...
Algorithms Female Convolutional Neural Networks Mammography Breast Neoplasms Humans Neural Networks, Computer
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Quantized Convolutional Neural Networks Robustness under Perturbation.

F1000Research Apr 9, 2025
Contemporary machine learning models are increasingly becoming restricted by size and subsequent operations per forward pass, demanding increasing compute requirements. Quantization has emerged as a convenient approach to addressing this, in which we...
Convolutional Neural Networks Neural Networks, Computer Machine Learning
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Assessment of the long RR intervals using convolutional neural networks in single-lead long-term Holter electrocardiogram recordings.

Scientific reports Apr 7, 2025
Advancements in medical technology have extended long-term electrocardiogram (ECG) monitoring from the traditional 24 h to 7-14 days, significantly enriching ECG data. However, this poses unprecedented challenges for physicians in analyzing these ext...
Atrial Fibrillation Male Middle Aged Electrocardiography, Ambulatory Arrhythmias, Cardiac Convolutional Neural Networks Algorithms Humans Neural Networks, Computer Female Aged
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Enhancing breast cancer diagnosis: transfer learning on DenseNet with neural hashing for histopathology fine-grained image classification.

Medical & biological engineering & computing Apr 6, 2025
Breast cancer is one of the most common types of cancer worldwide. The number of breast cancer cases highlights the importance of disease management at various levels. One complementary method for breast cancer classification is microscopic imaging. ...
Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Algorithms Female Diagnosis, Computer-Assisted Convolutional Neural Networks Breast Neoplasms Humans Neural Networks, Computer Machine Learning
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Kidney cancer diagnosis and surgery selection by double decker convolutional neural network from CT scans combined with great wall construction algorithm.

Abdominal radiology (New York) Apr 5, 2025
One of the most prevalent cancers in the world is kidney cancer (KC). A precise diagnosis, which is influenced by a number of variables, such as the size or volume of the tumor, the types and stages of the cancer, etc., is essential for the treatment...
Humans Neural Networks, Computer Algorithms Contrast Media Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Tomography, X-Ray Computed Convolutional Neural Networks
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Interpretable Multiscale Convolutional Neural Network for Classification and Feature Visualization of Weak Raman Spectra of Biomolecules at Cell Membranes.

ACS sensors Apr 4, 2025
Raman spectroscopy in biological applications faces challenges due to complex spectra, characterized by peaks of varying widths and significant biological background noise. Convolutional neural networks (CNNs) are widely used for spectrum classificat...
Neural Networks, Computer Convolutional Neural Networks Spectrum Analysis, Raman Humans Cell Membrane Cholera Toxin
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Artificial intelligence-based non-invasive bilirubin prediction for neonatal jaundice using 1D convolutional neural network.

Scientific reports Apr 4, 2025
Neonatal jaundice, characterized by elevated bilirubin levels causing yellow discoloration of the skin and eyes in newborns, is a critical condition requiring accurate and timely diagnosis. This study proposes a novel approach using 1D Convolutional ...
Infant, Newborn Convolutional Neural Networks Jaundice, Neonatal Bilirubin Neural Networks, Computer Artificial Intelligence Humans
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A fine-tuned convolutional neural network model for accurate Alzheimer's disease classification.

Scientific reports Apr 4, 2025
Alzheimer's disease (AD) is one of the primary causes of dementia in the older population, affecting memories, cognitive levels, and the ability to accomplish simple activities gradually. Timely intervention and efficient control of the disease prove...
Deep Learning Convolutional Neural Networks Magnetic Resonance Imaging Neural Networks, Computer Machine Learning Alzheimer Disease Humans
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Brain tumor segmentation and detection in MRI using convolutional neural networks and VGG16.

Cancer biomarkers : section A of Disease markers Apr 4, 2025
BackgroundIn this research, we explore the application of Convolutional Neural Networks (CNNs) for the development of an automated cancer detection system, particularly for MRI images. By leveraging deep learning and image processing techniques, we a...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Neural Networks, Computer Brain Neoplasms Humans Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted
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