AIMC Topic: Deep Learning

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Phytophagous, blood-suckers or predators? Automated identification of Chagas disease vectors and similar bugs using convolutional neural network algorithms.

Acta tropica Apr 26, 2025
Correct identification of blood-sucking bugs, such as triatomines, is important because they are vectors of Chagas' disease. Identifying these insects is often difficult for non-specialists. Deep learning is emerging as a solution for automated ident...
Animals Neural Networks, Computer Convolutional Neural Networks Deep Learning Algorithms Feeding Behavior Chagas Disease Insect Vectors Triatominae
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A deep learning-based multimodal medical imaging model for breast cancer screening.

Scientific reports Apr 26, 2025
In existing breast cancer prediction research, most models rely solely on a single type of imaging data, which limits their performance. To overcome this limitation, the present study explores breast cancer prediction models based on multimodal medic...
Aged Deep Learning ROC Curve Area Under Curve Breast Neoplasms Humans Early Detection of Cancer Middle Aged Adult Mammography Female Multimodal Imaging Sensitivity and Specificity
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A non-invasive diagnostic approach for neuroblastoma utilizing preoperative enhanced computed tomography and deep learning techniques.

Scientific reports Apr 26, 2025
Neuroblastoma presents a wide variety of clinical phenotypes, demonstrating different levels of benignity and malignancy among its subtypes. Early diagnosis is essential for effective patient management. Computed tomography (CT) serves as a significa...
Algorithms Tomography, X-Ray Computed Neuroblastoma Deep Learning Humans
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Monitoring Amphetamine and Methamphetamine Mixtures Based on Deep Learning Involves Colorimetric Sensing.

Analytical chemistry Apr 25, 2025
Precise recognition and discrimination of highly similar analytes (either in structure or property) with distinguishable sensing responses are challenging but significant in the practical application of drug seizing, food additive inspection, environ...
Methamphetamine Amphetamine Deep Learning Colorimetry
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FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Efficient Foveated Rendering in Virtual Reality.

IEEE transactions on visualization and computer graphics Apr 25, 2025
Leveraging real-time eye tracking, foveated rendering optimizes hardware efficiency and enhances visual quality virtual reality (VR). This approach leverages eye-tracking techniques to determine where the user is looking, allowing the system to rende...
Eye-Tracking Technology Computer Graphics Humans Algorithms Deep Learning Fixation, Ocular Virtual Reality Fovea Centralis Image Processing, Computer-Assisted
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Artificial intelligence based vision transformer application for grading histopathological images of oral epithelial dysplasia: a step towards AI-driven diagnosis.

BMC cancer Apr 25, 2025
BACKGROUND: This study aimed to classify dysplastic and healthy oral epithelial histopathological images, according to WHO and binary grading systems, using the Vision Transformer (ViT) deep learning algorithm-a state-of-the-art Artificial Intelligen...
Humans Neoplasm Grading Mouth Neoplasms Algorithms Image Interpretation, Computer-Assisted Deep Learning Precancerous Conditions Neural Networks, Computer Mouth Mucosa Artificial Intelligence Image Processing, Computer-Assisted
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Trade-offs between machine learning and deep learning for mental illness detection on social media.

Scientific reports Apr 25, 2025
Social media platforms provide valuable insights into mental health trends by capturing user-generated discussions on conditions such as depression, anxiety, and suicidal ideation. Machine learning (ML) and deep learning (DL) models have been increas...
Logistic Models Social Media Mental Disorders Deep Learning Humans Machine Learning
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A pioneering artificial intelligence tool to predict treatment outcomes in ovarian cancer via diagnostic laparoscopy.

Scientific reports Apr 25, 2025
Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assessment of tumor localization can be used for treatment planning in newly diagnosed high-grade serous ovarian carcinoma (HGSOC). While spread to multiple...
Deep Learning Treatment Outcome Ovarian Neoplasms Aged Middle Aged Laparoscopy Artificial Intelligence Female Humans
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Deep learning based dual stage model for accurate nasogastric tube positioning in chest radiographs.

Scientific reports Apr 25, 2025
Accurate placement of nasogastric tubes (NGTs) is crucial for ensuring patient safety and effective treatment. Traditional methods relying on manual inspection are susceptible to human error, highlighting the need for innovative solutions. This study...
Deep Learning Radiography, Thoracic Intubation, Gastrointestinal Humans
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Vision transformer and deep learning based weighted ensemble model for automated spine fracture type identification with GAN generated CT images.

Scientific reports Apr 25, 2025
The most common causes of spine fractures, or vertebral column fractures (VCF), are traumas like falls, injuries from sports, or accidents. CT scans are affordable and effective at detecting VCF types in an accurate manner. VCF type identification in...
Spinal Fractures Neural Networks, Computer Algorithms Humans Deep Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted
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