AIMC Topic: 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...
Deep Learning Image Processing, Computer-Assisted Mouth Neoplasms Precancerous Conditions Neoplasm Grading Mouth Mucosa Image Interpretation, Computer-Assisted Artificial Intelligence Humans Algorithms Neural Networks, Computer
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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...
Image Processing, Computer-Assisted Spinal Fractures Tomography, X-Ray Computed Deep Learning Neural Networks, Computer Algorithms Humans
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Variational mode directed deep learning framework for breast lesion classification using ultrasound imaging.

Scientific reports Apr 24, 2025
Breast cancer is the most prevalent cancer and the second cause of cancer related death among women in the United States. Accurate and early detection of breast cancer can reduce the number of mortalities. Recent works explore deep learning technique...
Image Interpretation, Computer-Assisted Ultrasonography, Mammary Humans Breast Neural Networks, Computer Algorithms Deep Learning Female Ultrasonography Breast Neoplasms Image Processing, Computer-Assisted
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A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection.

Scientific reports Apr 24, 2025
Autism Spectrum Disorder (ASD) affects approximately [Formula: see text] of the global population and is characterized by difficulties in social communication and repetitive or obsessive behaviors. Early detection of autism is crucial, as it allows t...
Neural Networks, Computer Autism Spectrum Disorder Male Deep Learning Female Humans Image Processing, Computer-Assisted Pattern Recognition, Automated
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Multimodal representations of transfer learning with snake optimization algorithm on bone marrow cell classification using biomedical histopathological images.

Scientific reports Apr 24, 2025
Bone marrow (BM) plays a crucial role in the hematopoietic process, producing all of the body's blood cells and maintaining the overall immune and health system. Red and yellow BM are the two various kinds of BM. A comprehensive identification of the...
Deep Learning Humans Image Processing, Computer-Assisted Bone Marrow Cells Machine Learning Bone Marrow Algorithms
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Comparative analysis of automated foul detection in football using deep learning architectures.

Scientific reports Apr 24, 2025
Automated foul detection in football represents a challenging task due to the dynamic nature of the game, the variability in player movements, and the ambiguity in differentiating fouls from regular physical contact. This study presents a comprehensi...
Soccer Image Processing, Computer-Assisted Football Deep Learning ROC Curve Humans
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Reconstruction-based approach for chest X-ray image segmentation and enhanced multi-label chest disease classification.

Artificial intelligence in medicine Apr 23, 2025
U-Net is a commonly used model for medical image segmentation. However, when applied to chest X-ray images that show pathologies, it often fails to include these critical pathological areas in the generated masks. To address this limitation, in our s...
Humans Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Algorithms Thoracic Diseases Image Processing, Computer-Assisted
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Unsupervised non-small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity-based discriminator.

Journal of applied clinical medical physics Apr 23, 2025
BACKGROUND: Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning-based automatic segmentation methods rely on manually annotated data for network training.
Unsupervised Machine Learning Neural Networks, Computer Generative Adversarial Networks Humans Algorithms Lung Neoplasms Deep Learning Carcinoma, Non-Small-Cell Lung Tomography, X-Ray Computed Image Processing, Computer-Assisted
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The intelligent development and preservation of folk sports culture under artificial intelligence.

Scientific reports Apr 23, 2025
To promote the intelligent development and preservation of folk sports culture, this work proposes a model grounded in the Cycle-Consistent Generative Adversarial Network (CycleGAN) to produce high-quality human images that recreate traditional sport...
Humans Artificial Intelligence Image Processing, Computer-Assisted Sports
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Optimizing diabetic retinopathy detection with electric fish algorithm and bilinear convolutional networks.

Scientific reports Apr 23, 2025
Diabetic Retinopathy (DR) is a leading cause of vision impairment globally, necessitating regular screenings to prevent its progression to severe stages. Manual diagnosis is labor-intensive and prone to inaccuracies, highlighting the need for automat...
Humans Diabetic Retinopathy Neural Networks, Computer Animals Image Processing, Computer-Assisted Machine Learning Algorithms
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