AIMC Topic: Convolutional Neural Networks

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Parallel convolutional neural networks for non-invasive cardiac hemodynamic estimation: integrating uncalibrated PPG signals with nonlinear feature analysis.

Physiological measurement Mar 31, 2025
Understanding cardiac hemodynamic status (CHS) is essential for accurate cardiovascular health assessment, as it is governed by key parameters such as cardiac output (CO), systemic vascular resistance (SVR), and arterial compliance (AC). This study a...
Hemodynamics Deep Learning Convolutional Neural Networks Adult Male Middle Aged Nonlinear Dynamics Photoplethysmography Signal Processing, Computer-Assisted Heart Humans Neural Networks, Computer Female
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Automated detection of metastatic lymph nodes in head and neck malignant tumors on high - resolution MRI images using an improved convolutional neural network.

International journal of medical informatics Mar 30, 2025
PURPOSE: To develop an AI-based diagnostic model for assessing cervical lymph nodes in head and neck malignant tumors using MRI, enabling non-invasive pre-surgical metastasis diagnosis.
Image Interpretation, Computer-Assisted Head and Neck Neoplasms Lymphatic Metastasis Magnetic Resonance Imaging Adult Retrospective Studies Humans Sensitivity and Specificity Middle Aged Female Neural Networks, Computer Male Convolutional Neural Networks Aged Lymph Nodes
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Efficient Seizure Detection by Complementary Integration of Convolutional Neural Network and Vision Transformer.

International journal of neural systems Mar 29, 2025
Epilepsy, as a prevalent neurological disorder, is characterized by its high incidence, sudden onset, and recurrent nature. The development of an accurate and real-time automatic seizure detection system is crucial for assisting clinicians in making ...
Electroencephalography Seizures Humans Signal Processing, Computer-Assisted Convolutional Neural Networks
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Advanced convolutional neural network with attention mechanism for Alzheimer's disease classification using MRI.

Computers in biology and medicine Mar 29, 2025
This paper introduces a novel convolutional neural network model with an attention mechanism to advance Alzheimer disease (AD) classification using Magnetic Resonance Imaging (MRI). The model architecture is meticulously crafted to enhance feature ex...
Image Interpretation, Computer-Assisted Convolutional Neural Networks Magnetic Resonance Imaging Alzheimer Disease Female Aged Male Humans Neural Networks, Computer Brain
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Hybrid deep learning framework for diabetic retinopathy classification with optimized attention AlexNet.

Computers in biology and medicine Mar 27, 2025
Diabetic retinopathy (DR) is a chronic condition associated with diabetes that can lead to vision impairment and, if not addressed, may progress to irreversible blindness. Consequently, it is essential to detect pathological changes in the retina to ...
Humans Diabetic Retinopathy Deep Learning Convolutional Neural Networks Fundus Oculi Image Interpretation, Computer-Assisted
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DMC-LIBSAS: A Laser-Induced Breakdown Spectroscopy Analysis System with Double-Multi Convolutional Neural Network for Accurate Traceability of Chinese Medicinal Materials.

Sensors (Basel, Switzerland) Mar 27, 2025
Against the background of globalization, the circulation range of traditional Chinese medicinal materials is constantly expanding, and the phenomena of mixed origins and counterfeiting are becoming increasingly serious. Tracing the origin of traditio...
Deep Learning Convolutional Neural Networks Drugs, Chinese Herbal Spectrum Analysis Lasers
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CasPro-ESM2: Accurate identification of Cas proteins integrating pre-trained protein language model and multi-scale convolutional neural network.

International journal of biological macromolecules Mar 22, 2025
Cas proteins (CRISPR-associated protein) are the core components of the CRISPR-Cas system, playing critical roles in defending against foreign DNA and RNA invasions. Identifying Cas proteins can provide deeper insights into the immune mechanisms of t...
CRISPR-Associated Proteins Convolutional Neural Networks Computational Biology CRISPR-Cas Systems Neural Networks, Computer Software
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Capsule DenseNet++: Enhanced autism detection framework with deep learning and reinforcement learning-based lifestyle recommendation.

Computers in biology and medicine Mar 21, 2025
Autism Spectrum Disorder (ASD) is a complex neurological condition that impairs the ability to interact, communicate, and behave. It is becoming increasingly prevalent worldwide, with an increase in the number of young children diagnosed with ASD in ...
Autistic Disorder Life Style Reinforcement, Psychology Saudi Arabia Child, Preschool Child Deep Learning Humans Convolutional Neural Networks Algorithms Autism Spectrum Disorder Female Male
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PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 19, 2025
BACKGROUND: In the HECKTOR 2022 challenge set [1], several state-of-the-art (SOTA, achieving best performance) deep learning models were introduced for predicting recurrence-free period (RFP) in head and neck cancer patients using PET and CT images.
Humans Tomography, X-Ray Computed Female Convolutional Neural Networks Aged Positron Emission Tomography Computed Tomography Datasets as Topic Oropharyngeal Neoplasms Male Middle Aged Deep Learning
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Artificial Intelligence and Convolutional Neural Networks-Driven Detection of Micro and Macro Metastasis of Cutaneous Melanoma to the Lymph Nodes.

The American Journal of dermatopathology Mar 19, 2025
BACKGROUND: Lymph node (LN) assessment is a critical component in the staging and management of cutaneous melanoma. Traditional histopathological evaluation, supported by immunohistochemical staining, is the gold standard for detecting LN metastases....
Humans Neural Networks, Computer Melanoma, Cutaneous Malignant Image Interpretation, Computer-Assisted Convolutional Neural Networks Lymph Nodes Lymphatic Metastasis Artificial Intelligence Melanoma Skin Neoplasms
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