AIMC Topic: Image Interpretation, Computer-Assisted

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AI-Driven segmentation and morphogeometric profiling of epicardial adipose tissue in type 2 diabetes.

Cardiovascular diabetology Jul 18, 2025
BACKGROUND: Epicardial adipose tissue (EAT) is associated with cardiometabolic risk in type 2 diabetes (T2D), but its spatial distribution and structural alterations remain understudied. We aim to develop a shape-aware, AI-based method for automated ...
Middle Aged Case-Control Studies Deep Learning Diabetes Mellitus, Type 2 Sweden Aged Male Image Interpretation, Computer-Assisted Adiposity Pericardium Epicardial Adipose Tissue Magnetic Resonance Imaging Adipose Tissue Predictive Value of Tests Female Reproducibility of Results Humans
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New hybrid features extracted from US images for breast cancer classification.

Scientific reports Jul 16, 2025
Artificial intelligence (AI), and image processing fields play a vital role in classifying benign and malignant breast cancer (BC). The novelty of this paper lies in computing original hybrid features (HF) from textural and shape features of BC integ...
Breast Neoplasms Machine Learning Algorithms Image Interpretation, Computer-Assisted Female Humans Artificial Intelligence Image Processing, Computer-Assisted Ultrasonography, Mammary
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Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla.

BMC medical imaging Jul 15, 2025
OBJECTIVE: This prospective study aimed to assess the feasibility of a half-Fourier single-shot turbo spin echo sequence (HASTE) with deep learning (DL) reconstruction for ultrafast imaging of the bladder with reduced susceptibility to motion artifac...
Urinary Bladder Feasibility Studies Image Interpretation, Computer-Assisted Artifacts Female Aged Adult Deep Learning Magnetic Resonance Imaging Male Middle Aged Humans Prospective Studies
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Fetal-Net: enhancing Maternal-Fetal ultrasound interpretation through Multi-Scale convolutional neural networks and Transformers.

Scientific reports Jul 15, 2025
Ultrasound imaging plays an important role in fetal growth and maternal-fetal health evaluation, but due to the complicated anatomy of the fetus and image quality fluctuation, its interpretation is quite challenging. Although deep learning include Co...
Humans Neural Networks, Computer Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Pregnancy Female Ultrasonography, Prenatal Fetus
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Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture.

Scientific reports Jul 12, 2025
The brain tumours originate in the brain or its surrounding structures, such as the pituitary and pineal glands, and can be benign or malignant. While benign tumours may grow into neighbouring tissues, metastatic tumours occur when cancer from other ...
Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging Pituitary Neoplasms Humans Brain Neoplasms Deep Learning Neural Networks, Computer Algorithms
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BIScreener: enhancing breast cancer ultrasound diagnosis through integrated deep learning with interpretability.

Analytical methods : advancing methods and applications Jul 10, 2025
Breast cancer is the leading cause of death among women worldwide, and early detection through the standardized BI-RADS framework helps physicians assess the risk of malignancy and guide appropriate diagnostic and treatment decisions. In this study, ...
Adult Deep Learning Ultrasonography, Mammary Humans Breast Neoplasms ROC Curve Image Interpretation, Computer-Assisted Neural Networks, Computer Middle Aged Area Under Curve Female
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Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images.

Scientific reports Jul 9, 2025
Diabetic retinopathy (DR) is an age-related macular degeneration eye disease problem that causes pathological changes in the retinal neural and vascular system. Recently, fundus imaging is a popular technology and widely used for clinical diagnosis, ...
Convolutional Neural Networks Image Processing, Computer-Assisted Humans Fundus Oculi Neural Networks, Computer Retina Diabetic Retinopathy Image Interpretation, Computer-Assisted Algorithms Deep Learning
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Deep learning-based automatic detection and grading of disk herniation in lumbar magnetic resonance images.

Scientific reports Jul 9, 2025
Magnetic resonance imaging of the lumbar spine is a key technique for clarifying the cause of disease. The greatest challenges today are the repetitive and time-consuming process of interpreting these complex MR images and the problem of unequal diag...
Lumbar Vertebrae Image Interpretation, Computer-Assisted Intervertebral Disc Displacement Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Female Adult Humans Male Middle Aged
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A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images.

Scientific reports Jul 9, 2025
Breast cancer remains a significant global health challenge among women, with histopathological image analysis playing a critical role in early detection. However, existing diagnostic models often struggle to extract complex patterns from high-resolu...
Humans Algorithms Female Convolutional Neural Networks Image Processing, Computer-Assisted Breast Neoplasms Deep Learning Image Interpretation, Computer-Assisted
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ColoViT: a synergistic integration of EfficientNet and vision transformers for advanced colon cancer detection.

Journal of cancer research and clinical oncology Jul 9, 2025
BACKGROUND: Colon cancer remains a leading cause of cancer-related mortality globally, highlighting the urgent need for advanced diagnostic methods to improve early detection and patient outcomes.
Colonic Neoplasms Image Interpretation, Computer-Assisted Colonoscopy Deep Learning Convolutional Neural Networks Early Detection of Cancer Humans Algorithms
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