AIMC Topic: Image Enhancement

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StarVasc: hyper-dimensional and spectral feature expansion for lightweight vascular enhancement.

Journal of robotic surgery Aug 10, 2025
Vascular contrast enhancement is crucial for early disease diagnosis and surgical precision in robotic surgery imaging. Traditional white-light imaging often fails to distinguish blood vessels due to the spectral similarity between vessels and surrou...
Image Processing, Computer-Assisted Robotic Surgical Procedures Image Enhancement Blood Vessels Humans
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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...
Image Interpretation, Computer-Assisted Image Enhancement Humans Algorithms Fundus Oculi Retina Deep Learning Image Processing, Computer-Assisted
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Integrating advanced deep learning techniques for enhanced detection and classification of citrus leaf and fruit diseases.

Scientific reports Apr 12, 2025
In this study, we evaluate the performance of four deep learning models, EfficientNetB0, ResNet50, DenseNet121, and InceptionV3, for the classification of citrus diseases from images. Extensive experiments were conducted on a dataset of 759 images di...
Fruit Plant Diseases Image Enhancement Citrus Convolutional Neural Networks Agriculture Plant Leaves Deep Learning
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Accelerated intracranial time-of-flight MR angiography with image-based deep learning image enhancement reduces scan times and improves image quality at 3-T and 1.5-T.

Neuroradiology Mar 17, 2025
PURPOSE: Three-dimensional time-of-flight magnetic resonance angiography (TOF-MRA) is effective for cerebrovascular disease assessment, but clinical application is limited by long scan times and low spatial resolution. Recent advances in deep learnin...
Magnetic Resonance Angiography Image Interpretation, Computer-Assisted Humans Image Enhancement Retrospective Studies Signal-To-Noise Ratio Deep Learning Male Female Imaging, Three-Dimensional Aged Middle Aged Cerebrovascular Disorders Adult
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Deep learning based image enhancement for dynamic non-Cartesian MRI: Application to "silent" fMRI.

Computers in biology and medicine Mar 3, 2025
Radial based non-Cartesian sequences may be used for silent functional MRI examinations particularly in settings where scanner noise could pose issues. However, to achieve reasonable temporal resolution, under-sampled 3D radial k-space commonly resul...
Image Enhancement Connectome Brain Humans Image Processing, Computer-Assisted Deep Learning Magnetic Resonance Imaging
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Denoising Diffusion Probabilistic Model to Simulate Contrast-enhanced spinal MRI of Spinal Tumors: A Multi-Center Study.

Academic radiology Feb 28, 2025
RATIONALE AND OBJECTIVES: To generate virtual T1 contrast-enhanced (T1CE) sequences from plain spinal MRI sequences using the denoising diffusion probabilistic model (DDPM) and to compare its performance against one baseline model pix2pix and three a...
Algorithms Computer Simulation Female Humans Sensitivity and Specificity Male Middle Aged Contrast Media Reproducibility of Results Aged Adult Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Artifacts Models, Statistical Spinal Neoplasms Image Interpretation, Computer-Assisted Image Enhancement
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Deep Learning-Based Signal Amplification of T1-Weighted Single-Dose Images Improves Metastasis Detection in Brain MRI.

Investigative radiology Feb 18, 2025
OBJECTIVES: Double-dose contrast-enhanced brain imaging improves tumor delineation and detection of occult metastases but is limited by concerns about gadolinium-based contrast agents' effects on patients and the environment. The purpose of this stud...
Deep Learning Contrast Media Magnetic Resonance Imaging Brain Neoplasms Male Middle Aged Humans Image Interpretation, Computer-Assisted Image Enhancement Aged Prospective Studies Sensitivity and Specificity Female
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A Bi-modal Temporal Segmentation Network for Automated Segmentation of Focal Liver Lesions in Dynamic Contrast-enhanced Ultrasound.

Ultrasound in medicine & biology Feb 14, 2025
OBJECTIVE: To develop and validate an automated deep learning-based model for focal liver lesion (FLL) segmentation in a dynamic contrast-enhanced ultrasound (CEUS) video.
Liver Neoplasms Contrast Media Liver Middle Aged Deep Learning Ultrasonography Humans Image Interpretation, Computer-Assisted Aged Retrospective Studies Image Enhancement Adult Female Male
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ILR-Net: Low-light image enhancement network based on the combination of iterative learning mechanism and Retinex theory.

PloS one Feb 13, 2025
Images captured in nighttime or low-light environments are often affected by external factors such as noise and lighting. Aiming at the existing image enhancement algorithms tend to overly focus on increasing brightness, while neglecting the enhancem...
Image Processing, Computer-Assisted Humans Lighting Neural Networks, Computer Image Enhancement Algorithms
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Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems.

Endoscopy Jan 30, 2025
BACKGROUND:  Artificial intelligence (AI) systems in endoscopy are predominantly developed and tested using high-quality imagery from expert centers. However, their performance may be different when applied in clinical practice, partly due to the div...
Artificial Intelligence Sensitivity and Specificity Humans Colonic Polyps Colorectal Neoplasms Barrett Esophagus Colonoscopy Image Enhancement Diagnosis, Computer-Assisted
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