AIMC Topic: Deep Learning

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Deep learning based ensemble model for accurate tomato leaf disease classification by leveraging ResNet50 and MobileNetV2 architectures.

Scientific reports Apr 22, 2025
Global food security depends on tomato growing, but several fungal, bacterial, and viral illnesses seriously reduce productivity and quality, therefore causing major financial losses. Reducing these impacts depends on early, exact diagnosis of diseas...
Solanum lycopersicum Plant Diseases Deep Learning Plant Leaves
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Efficient human activity recognition on edge devices using DeepConv LSTM architectures.

Scientific reports Apr 22, 2025
Driven by the rapid development of the Internet of Things (IoT), deploying deep learning models on resource-constrained hardware has become an increasingly critical challenge, which has propelled the emergence of TinyML as a viable solution. This stu...
Internet of Things Humans Deep Learning Human Activities Neural Networks, Computer
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Deep learning based adaptive and automatic measurement of palpebral margin in eyelid morphology.

Scientific reports Apr 22, 2025
Accurate anatomical measurements of the eyelids are essential in periorbital plastic surgery for both disease treatment and procedural planning. Recent researches in eye diseases have adopted deep learning works to measure MRD. However, such works en...
Deep Learning Image Processing, Computer-Assisted Eyelids Humans Algorithms
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Vocal performance evaluation of the intelligent note recognition method based on deep learning.

Scientific reports Apr 22, 2025
This study aims to optimize the ability of note recognition and improve the accuracy of vocal performance evaluation. Firstly, the basic theory of music is analyzed. Secondly, the convolutional neural network (CNN) in deep learning (DL) is selected t...
Neural Networks, Computer Deep Learning Voice Music Humans
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Revolutionizing Alzheimer's disease detection with a cutting-edge CAPCBAM deep learning framework.

Scientific reports Apr 22, 2025
Early and accurate diagnosis of Alzheimer's disease (AD) is crucial for effective treatment. While the integration of deep learning techniques for AD classification is not entirely new, this study introduces CAPCBAM-a framework that extends prior app...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease Neural Networks, Computer Humans Deep Learning
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Frailty identification using a sensor-based upper-extremity function test: a deep learning approach.

Scientific reports Apr 22, 2025
The global increase in the older adult population highlights the need for effective frailty assessment, a condition linked to adverse health outcomes such as hospitalization and mortality. Existing frailty assessment tools, like the Fried phenotype a...
Support Vector Machine Humans Male Aged Frailty Frail Elderly Geriatric Assessment Deep Learning Female Aged, 80 and over Upper Extremity
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Development of an Artificial Intelligence-Enabled Electrocardiography to Detect 23 Cardiac Arrhythmias and Predict Cardiovascular Outcomes.

Journal of medical systems Apr 22, 2025
Arrhythmias are common and can affect individuals with or without structural heart disease. Deep learning models (DLMs) have shown the ability to recognize arrhythmias using 12-lead electrocardiograms (ECGs). However, the limited types of arrhythmias...
Heart Failure Arrhythmias, Cardiac ROC Curve Electrocardiography Atrial Fibrillation Aged Sensitivity and Specificity Middle Aged Deep Learning Male Algorithms Female Humans Artificial Intelligence
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A novel deep learning approach to classify 3D foot types of diabetic patients.

Scientific reports Apr 22, 2025
Diabetes mellitus is a worldwide epidemic that leads to significant changes in foot shape, deformities, and ulcers. Precise classification of diabetic foot not only helps identify foot abnormalities but also facilitates personalized treatment and pre...
Deep Learning Imaging, Three-Dimensional Diabetic Foot Humans Foot
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Reinforcement learning-driven automated head and neck simultaneous integrated boost (SIB) radiation therapy: flexible treatment planning aligned with clinical preferences.

Physics in medicine and biology Apr 22, 2025
Head-and-neck simultaneous integrated boost (SIB) treatment planning using intensity modulated radiation therapy is particularly challenging due to the proximity to organs-at-risk. Depending on the specific clinical conditions, different parotid-spar...
Organs at Risk Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Head and Neck Neoplasms Automation Radiotherapy, Intensity-Modulated Humans
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An end-to-end neural network for 4D cardiac CT reconstruction using single-beat scans.

Physics in medicine and biology Apr 22, 2025
Motion artifacts remain a significant challenge in cardiac CT imaging, often impairing the accurate detection and diagnosis of cardiac diseases. These artifacts result from involuntary cardiac motion, and traditional mitigation methods typically rely...
Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Heart Phantoms, Imaging Signal-To-Noise Ratio Artifacts Four-Dimensional Computed Tomography
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