AIMC Topic: Deep Learning
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Residual self-attention vision transformer for detecting acquired vitelliform lesions and age-related macular drusen.
Scientific reports
May 16, 2025
Retinal diseases recognition is still a challenging task. Many deep learning classification methods and their modifications have been developed for medical imaging. Recently, Vision Transformers (ViT) have been applied for classification of retinal d...
Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection.
Scientific reports
May 16, 2025
Accurate and fully automated pancreas segmentation is critical for advancing imaging biomarkers in early pancreatic cancer detection and for biomarker discovery in endocrine and exocrine pancreatic diseases. We developed and evaluated a deep learning...
Lightweight hybrid transformers-based dyslexia detection using cross-modality data.
Scientific reports
May 16, 2025
Early and precise diagnosis of dyslexia is crucial for implementing timely intervention to reduce its effects. Timely identification can improve the individual's academic and cognitive performance. Traditional dyslexia detection (DD) relies on length...
A monocular endoscopic image depth estimation method based on a window-adaptive asymmetric dual-branch Siamese network.
Scientific reports
May 15, 2025
Minimally invasive surgery involves entering the body through small incisions or natural orifices, using a medical endoscope for observation and clinical procedures. However, traditional endoscopic images often suffer from low texture and uneven illu...
Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets.
Nature communications
May 15, 2025
Coronary artery disease (CAD) is a leading cause of death globally. Antiplatelet therapy remains crucial in preventing and treating CAD-associated thrombotic complications, but it concurrently amplifies the risk of bleeding. Unfortunately, traditiona...
Automated high precision PCOS detection through a segment anything model on super resolution ultrasound ovary images.
Scientific reports
May 15, 2025
PCOS (Poly-Cystic Ovary Syndrome) is a multifaceted disorder that often affects the ovarian morphology of women of their reproductive age, resulting in the development of numerous cysts on the ovaries. Ultrasound imaging typically diagnoses PCOS, whi...
Exon-intron boundary detection made easy by physicochemical properties of DNA.
Molecular omics
May 15, 2025
Genome architecture in eukaryotes exhibits a high degree of complexity. Amidst the numerous intricacies, the existence of genes as non-continuous stretches composed of exons and introns has garnered significant attention and curiosity among researche...
Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm.
Scientific reports
May 8, 2025
Visually impaired individuals suffer many problems in handling their everyday activities like road crossing, writing, finding an object, reading, and so on. However, many navigation methods are available, and efficient object detection (OD) methods f...
Quantitative analysis and clinical determinants of orthodontically induced root resorption using automated tooth segmentation from CBCT imaging.
BMC oral health
May 8, 2025
BACKGROUND: Orthodontically induced root resorption (OIRR) is difficult to assess accurately using traditional 2D imaging due to distortion and low sensitivity. While CBCT offers more precise 3D evaluation, manual segmentation remains labor-intensive...
Non-proliferative diabetic retinopathy detection using Rosmarus Quagga optimized explainable generative meta learning based deep convolutional neural network model.
International ophthalmology
May 8, 2025
PURPOSE: Non-Proliferative Diabetic Retinopathy (NPDR) is a complication of diabetes disease where there is damage of the blood vessels in retina but with no signs of formation of new vessels. It is present in the earlier stages and therefore the con...
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