AIMC Topic: Image Processing, Computer-Assisted

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Multi-Scale Group Agent Attention-Based Graph Convolutional Decoding Networks for 2D Medical Image Segmentation.

IEEE journal of biomedical and health informatics Apr 4, 2025
Automated medical image segmentation plays a crucial role in assisting doctors in diagnosing diseases. Feature decoding is a critical yet challenging issue for medical image segmentation. To address this issue, this work proposes a novel feature deco...
Heart Algorithms Image Processing, Computer-Assisted Abdomen Humans Neural Networks, Computer
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SFM-Net: Semantic Feature-Based Multi-Stage Network for Unsupervised Image Registration.

IEEE journal of biomedical and health informatics Apr 4, 2025
It is difficult for general registration methods to establish the fine correspondence between images with complex anatomical structures. To overcome the above problem, this work presents SFM-Net, an unsupervised multi-stage semantic feature-based net...
Brain Deep Learning Magnetic Resonance Imaging Liver Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans Unsupervised Machine Learning Semantics
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CorrMorph: Unsupervised Deformable Brain MRI Registration Based on Correlation Mining.

IEEE journal of biomedical and health informatics Apr 4, 2025
Deformable image registration, as a fundamental prerequisite for many medical image analysis tasks, has received considerable attention. However, existing methods suffer from two key issues: 1) single-stream methods that stack moving and fixed images...
Brain Adult Magnetic Resonance Imaging Unsupervised Machine Learning Image Processing, Computer-Assisted Humans Algorithms
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Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN.

IEEE journal of biomedical and health informatics Apr 4, 2025
For optical coherence tomography angiography (OCTA) images, the limited scanning rate leads to a trade-off between field-of-view (FOV) and imaging resolution. Although larger FOV images may reveal more parafoveal vascular lesions, their application i...
Tomography, Optical Coherence Angiography Retinal Vessels Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Prior Visual-Guided Self-Supervised Learning Enables Color Vignetting Correction for High-Throughput Microscopic Imaging.

IEEE journal of biomedical and health informatics Apr 4, 2025
Vignetting constitutes a prevalent optical degradation that significantly compromises the quality of biomedical microscopic imaging. However, a robust and efficient vignetting correction methodology in multi-channel microscopic images remains absent ...
Image Processing, Computer-Assisted Color Animals Deep Learning Supervised Machine Learning Microscopy Humans Algorithms
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Pyramid Pixel Context Adaption Network for Medical Image Classification With Supervised Contrastive Learning.

IEEE transactions on neural networks and learning systems Apr 4, 2025
Spatial attention (SA) mechanism has been widely incorporated into deep neural networks (DNNs), significantly lifting the performance in computer vision tasks via long-range dependency modeling. However, it may perform poorly in medical image analysi...
Humans Neural Networks, Computer Algorithms Diagnostic Imaging Supervised Machine Learning Deep Learning Image Processing, Computer-Assisted
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Explainable AI for Medical Image Analysis in Medical Cyber-Physical Systems: Enhancing Transparency and Trustworthiness of IoMT.

IEEE journal of biomedical and health informatics Apr 4, 2025
This study explores the application of explainable artificial intelligence (XAI) in the context of medical image analysis within medical cyber-physical systems (MCPS) to enhance transparency and trustworthiness. Meanwhile, this study proposes an expl...
Computer Security Diagnostic Imaging Internet of Things Humans Artificial Intelligence Algorithms Image Processing, Computer-Assisted Machine Learning
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C2BNet: A Deep Learning Architecture With Coupled Composite Backbone for Parasitic Egg Detection in Microscopic Images.

IEEE journal of biomedical and health informatics Apr 4, 2025
Internet of Medical Things (IoMT) enabled by artificial intelligence (AI) technologies can facilitate automatic diagnosis and management of chronic diseases (e.g., intestinal parasitic infection) based on 2D microscopic images. To improve model perfo...
Humans Image Processing, Computer-Assisted Microscopy Image Interpretation, Computer-Assisted Animals Deep Learning
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Brain tumor segmentation and detection in MRI using convolutional neural networks and VGG16.

Cancer biomarkers : section A of Disease markers Apr 4, 2025
BackgroundIn this research, we explore the application of Convolutional Neural Networks (CNNs) for the development of an automated cancer detection system, particularly for MRI images. By leveraging deep learning and image processing techniques, we a...
Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Brain Neoplasms Convolutional Neural Networks Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted
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Domain generalization for image classification based on simplified self ensemble learning.

PloS one Apr 4, 2025
Domain generalization seeks to acquire knowledge from limited source data and apply it to an unknown target domain. Current approaches primarily tackle this challenge by attempting to eliminate the differences between domains. However, as cross-domai...
Algorithms Humans Image Processing, Computer-Assisted Machine Learning Ensemble Learning
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