AIMC Topic: Image Processing, Computer-Assisted

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A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI.

Scientific reports Apr 29, 2025
Parkinson's disease ranks as the second most prevalent neurological disorder after Alzheimer's disease. Convolutional neural networks (CNNs) have been extensively employed in Parkinson's disease (PD) detection using MR images. However, CNN models gen...
Parkinson Disease Algorithms Humans Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging
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MED-NCA: Bio-inspired medical image segmentation.

Medical image analysis Apr 28, 2025
The reliance on computationally intensive U-Net and Transformer architectures significantly limits their accessibility in low-resource environments, creating a technological divide that hinders global healthcare equity, especially in medical diagnost...
Humans Neural Networks, Computer Male Image Processing, Computer-Assisted Female Magnetic Resonance Imaging
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Integrating prior knowledge with deep learning for optimized quality control in corneal images: A multicenter study.

Computer methods and programs in biomedicine Apr 28, 2025
OBJECTIVE: Artificial intelligence (AI) models are effective for analyzing high-quality slit-lamp images but often face challenges in real-world clinical settings due to image variability. This study aims to develop and evaluate a hybrid AI-based ima...
Quality Control Cross-Sectional Studies Artificial Intelligence Humans Cornea Deep Learning Algorithms Image Processing, Computer-Assisted Reproducibility of Results Telemedicine
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Structural uncertainty estimation for medical image segmentation.

Medical image analysis Apr 28, 2025
Precise segmentation and uncertainty estimation are crucial for error identification and correction in medical diagnostic assistance. Existing methods mainly rely on pixel-wise uncertainty estimations. They (1) neglect the global context, leading to ...
Ultrasonography Image Processing, Computer-Assisted Uncertainty Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Reproducibility of Results Humans
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Challenges, optimization strategies, and future horizons of advanced deep learning approaches for brain lesion segmentation.

Methods (San Diego, Calif.) Apr 28, 2025
Brain lesion segmentation is challenging in medical image analysis, aiming to delineate lesion regions precisely. Deep learning (DL) techniques have recently demonstrated promising results across various computer vision tasks, including semantic segm...
Neural Networks, Computer Algorithms Brain Humans Image Processing, Computer-Assisted Stroke Neuroimaging Brain Neoplasms Deep Learning
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Medical image translation with deep learning: Advances, datasets and perspectives.

Medical image analysis Apr 27, 2025
Traditional medical image generation often lacks patient-specific clinical information, limiting its clinical utility despite enhancing downstream task performance. In contrast, medical image translation precisely converts images from one modality to...
Image Processing, Computer-Assisted Diagnostic Imaging Image Interpretation, Computer-Assisted Neural Networks, Computer Deep Learning Datasets as Topic Humans
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CUAMT: A MRI semi-supervised medical image segmentation framework based on contextual information and mixed uncertainty.

Computer methods and programs in biomedicine Apr 27, 2025
BACKGROUND AND OBJECTIVE: Semi-supervised medical image segmentation is a class of machine learning paradigms for segmentation model training and inference using both labeled and unlabeled medical images, which can effectively reduce the data labelin...
Magnetic Resonance Imaging Uncertainty Humans Machine Learning Algorithms Brain Neoplasms Image Processing, Computer-Assisted
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The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses.

Biomedical engineering online Apr 27, 2025
BACKGROUND: Chronic rhinosinusitis (CRS) is diagnosed with symptoms and objective endoscopy or computed tomography (CT). The Lund-Mackay score (LMS) is often used to determine the radiologic severity of CRS and make clinical decisions. This proof-of-...
Middle Aged Humans Convolutional Neural Networks Adult Tomography, X-Ray Computed Neural Networks, Computer Image Processing, Computer-Assisted Automation Male Sinusitis Female Paranasal Sinuses
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Integrating attention networks into a hybrid model for HER2 status prediction in breast cancer.

Biochemical and biophysical research communications Apr 26, 2025
Breast cancer is one of the most prevalent cancers amongst women, caused by uncontrolled cell growth in breast tissue. Human Epidermal growth factor Receptor 2 (HER2) proteins play a vital role in regulating normal breast cell development and divisio...
Breast Neoplasms Image Processing, Computer-Assisted Receptor, ErbB-2 Algorithms Female Humans Neural Networks, Computer
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General retinal image enhancement via reconstruction: Bridging distribution shifts using latent diffusion adaptors.

Medical image analysis Apr 26, 2025
Deep learning-based fundus image enhancement has attracted extensive research attention recently, which has shown remarkable effectiveness in improving the visibility of low-quality images. However, these methods are often constrained to specific dat...
Humans Algorithms Deep Learning Retina Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Fundus Oculi Image Enhancement
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