AIMC Topic: Deep Learning

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Improved bio-inspired with machine learning computing approach for thyroid prediction.

Scientific reports Jul 2, 2025
Thyroid illness is widely recognised as a prevalent health condition that can result in a range of health disorders. Thyroid illnesses, namely hypothyroidism and hyperthyroidism, are widespread worldwide and present considerable health consequences. ...
Deep Learning Thyroid Diseases Support Vector Machine Decision Trees Machine Learning Female Thyroid Gland Humans Neural Networks, Computer
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Deep learning-based sex estimation of 3D hyoid bone models in a Croatian population using adapted PointNet++ network.

Scientific reports Jul 2, 2025
This study investigates a deep learning approach for sex estimation using 3D hyoid bone models derived from computed tomography (CT) scans of a Croatian population. We analyzed 202 hyoid samples (101 male, 101 female), converting CT-derived meshes in...
Hyoid Bone Sex Characteristics Sex Determination by Skeleton Male Deep Learning Female Imaging, Three-Dimensional Middle Aged Humans Adult Croatia Tomography, X-Ray Computed
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An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning.

Scientific reports Jul 2, 2025
Deep learning primarily operates on images which contain hidden patterns that are quantified through pixel intensities. Deep learning is used to analyze the image patterns and to recognize the objects. The detection process includes the creation of l...
Algorithms Animals Image Processing, Computer-Assisted Penaeidae Deep Learning Neural Networks, Computer Ensemble Learning
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Monitoring and predicting cotton leaf diseases using deep learning approaches and mathematical models.

Scientific reports Jul 2, 2025
Cotton, the backbone of global textile production, demands sustainable agricultural practices to ensure fiber, food, and environmental security. Cotton crop play an essential role in farming economies; however, production is sometimes affected by var...
Plant Diseases Gossypium Deep Learning Neural Networks, Computer Models, Theoretical Plant Leaves
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RareNet: a deep learning model for rare cancer diagnosis.

Scientific reports Jul 2, 2025
Although significant advances have been made in the early detection of many cancers, challenges remain in the early diagnosis of rare cancers, including Wilms tumor, Clear Cell Sarcoma of the Kidney, Neuroblastoma, Osteosarcoma, and Acute Myeloid Leu...
DNA Methylation Rare Diseases Neoplasms Deep Learning Humans
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Multi channel fusion diffusion models for brain tumor MRI data augmentation.

Scientific reports Jul 2, 2025
The early diagnosis of brain tumors is crucial for patient prognosis, and medical imaging techniques such as MRI and CT scans are essential tools for diagnosing brain tumors. However, high-quality medical image data for brain tumors is often scarce a...
Diffusion Magnetic Resonance Imaging Brain Neoplasms Deep Learning Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Humans Algorithms
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Classifying and diagnosing Alzheimer's disease with deep learning using 6735 brain MRI images.

Scientific reports Jul 2, 2025
Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy processing times, delaying crucial interventions and patient care. Deep convolutional neural networks trained on MRI data can enhance diagnostic precisi...
Neural Networks, Computer Brain Female Humans Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Aged Male Alzheimer Disease
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A big data driven multilevel deep learning framework for predicting terrorist attacks.

Scientific reports Jul 2, 2025
In recent years, terrorism has increasingly threatened human security, causing violence, fear, and damage to both the general public and specific targets. These attacks create unrest among individuals and within society. Leveraging the recent advance...
Big Data Terrorism Forecasting Deep Learning Humans
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Channel attention pyramid network for remote physiological measurement.

Scientific reports Jul 2, 2025
Remote photoplethysmography (rPPG) is an emerging contactless physiological parameter detection method utilizing cameras, showing great promise as a forefront technology for remote health assessment. While traditional rPPG methods have substantially ...
Monitoring, Physiologic Video Recording Deep Learning Photoplethysmography Humans
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Automatic detection of orthodontically induced external root resorption based on deep convolutional neural networks using CBCT images.

Scientific reports Jul 2, 2025
Orthodontically-induced external root resorption (OIERR) is among the most common risks in orthodontic treatment. Traditional OIERR diagnosis is limited by subjective judgement as well as cumbersome manual measurement. The research aims to develop an...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Orthodontics Root Resorption Convolutional Neural Networks Cone-Beam Computed Tomography
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