AIMC Topic: Image Processing, Computer-Assisted

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A 3D medical image segmentation network based on gated attention blocks and dual-scale cross-attention mechanism.

Scientific reports Feb 20, 2025
In the field of multi-organ 3D medical image segmentation, Convolutional Neural Networks (CNNs) are limited to extracting local feature information, while Transformer-based architectures suffer from high computational complexity and inadequate extrac...
Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Reinforcement-based leveraging transfer learning for multiclass optical coherence tomography images classification.

Scientific reports Feb 20, 2025
The accurate diagnosis of retinal diseases, such as Diabetic Macular Edema (DME) and Age-related Macular Degeneration (AMD), is essential for preventing vision loss. Optical Coherence Tomography (OCT) imaging plays a crucial role in identifying these...
Image Processing, Computer-Assisted Tomography, Optical Coherence Macular Degeneration Macular Edema Machine Learning Humans Algorithms Diabetic Retinopathy
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Application of deep learning for fruit defect recognition in Psidium guajava L.

Scientific reports Feb 20, 2025
Psidium guajava L. is an important tropical and subtropical fruit. Due to its geographical location and suitable climate, Taiwan produces Psidium guajava L. all year round. Quality standardization is therefore a crucial issue. The primary objective w...
Deep Learning Plant Diseases Psidium Fruit Image Processing, Computer-Assisted Taiwan
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IConDiffNet: an unsupervised inverse-consistent diffeomorphic network for medical image registration.

Physics in medicine and biology Feb 20, 2025
Deformable image registration (DIR) is critical in many medical imaging applications. Diffeomorphic transformations, which are smooth invertible mappings with smooth inverses preserve topological properties and are an anatomically plausible means of ...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Unsupervised Machine Learning Algorithms Brain Humans Neural Networks, Computer
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AI detectors are poor western blot classifiers: a study of accuracy and predictive values.

PeerJ Feb 20, 2025
The recent rise of generative artificial intelligence (AI) capable of creating scientific images presents a challenge in the fight against academic fraud. This study evaluates the efficacy of three free web-based AI detectors in identifying AI-genera...
Predictive Value of Tests Blotting, Western Sensitivity and Specificity Humans Image Processing, Computer-Assisted Artificial Intelligence
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Robust and generalizable artificial intelligence for multi-organ segmentation in ultra-low-dose total-body PET imaging: a multi-center and cross-tracer study.

European journal of nuclear medicine and molecular imaging Feb 19, 2025
PURPOSE: Positron Emission Tomography (PET) is a powerful molecular imaging tool that visualizes radiotracer distribution to reveal physiological processes. Recent advances in total-body PET have enabled low-dose, CT-free imaging; however, accurate o...
Male Deep Learning Retrospective Studies Image Processing, Computer-Assisted Humans Radiation Dosage Female Whole Body Imaging Positron-Emission Tomography Artificial Intelligence Radioactive Tracers
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Navigating prevalence shifts in image analysis algorithm deployment.

Medical image analysis Feb 19, 2025
Domain gaps are significant obstacles to the clinical implementation of machine learning (ML) solutions for medical image analysis. Although current research emphasizes new training methods and network architectures, the specific impact of prevalence...
Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Algorithms Prevalence Humans Machine Learning
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Architecture Knowledge Distillation for Evolutionary Generative Adversarial Network.

International journal of neural systems Feb 19, 2025
Generative Adversarial Networks (GANs) are effective for image generation, but their unstable training limits broader applications. Additionally, neural architecture search (NAS) for GANs with one-shot models often leads to insufficient subnet traini...
Algorithms Image Processing, Computer-Assisted Generative Adversarial Networks Humans Neural Networks, Computer
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Protocol for AI-based segmentation and quantification of interstitial cells of Cajal in murine gastric muscle.

STAR protocols Feb 19, 2025
Interstitial cells of Cajal (ICCs), pacemaker and neuromodulator cells in the gastrointestinal (GI) tract, play an important role in GI motility. However, quantifying ICCs is challenging due to their mixed morphologies. Here, we present a protocol fo...
Interstitial Cells of Cajal Microscopy, Confocal Stomach Artificial Intelligence Image Processing, Computer-Assisted Mice Animals
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Ensemble fuzzy deep learning for brain tumor detection.

Scientific reports Feb 19, 2025
This research presents a novel ensemble fuzzy deep learning approach for brain Magnetic Resonance Imaging (MRI) analysis, aiming to improve the segmentation of brain tissues and abnormalities. The method integrates multiple components, including dive...
Fuzzy Logic Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Brain Brain Neoplasms Deep Learning Humans
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