AIMC Topic: Image Processing, Computer-Assisted

Clear Filters Showing 11 to 20 of 9853 articles

Performance of deep learning models for the classification and object detection of different oral white lesions using photographic images.

Scientific reports Aug 22, 2025
Computer vision adjunctive technology for oral lesion diagnoses has been developed to detect and identify Oral Potentially Malignant Disorders (OPMDs) and non-OPMDs. The early detection of OPMDs can reduce the risk of oral cancer development, improvi...
Mouth Neoplasms Photography Deep Learning Image Processing, Computer-Assisted Leukoplakia, Oral Humans Neural Networks, Computer
View on PubMed DOI

Deep unrolled primal dual network for TOF-PET list-mode image reconstruction.

Physics in medicine and biology Aug 22, 2025
Time-of-flight (TOF) information provides more accurate location data for annihilation photons, thereby enhancing the quality of positron emission tomography (PET) reconstruction images and reducing noise. List-mode reconstruction has a significant a...
Algorithms Phantoms, Imaging Time Factors Deep Learning Positron-Emission Tomography Image Processing, Computer-Assisted Signal-To-Noise Ratio
View on PubMed DOI

TomoGRAF: An X-ray physics-driven generative radiance field framework for extremely sparse view CT reconstruction.

PloS one Aug 22, 2025
OBJECTIVES: Computed tomography (CT) provides high spatial-resolution visualization of 3D structures for various applications. Traditional analytical/iterative CT reconstruction algorithms require hundreds of angular samplings, a condition may not be...
X-Rays Machine Learning Image Processing, Computer-Assisted Algorithms Phantoms, Imaging Humans Tomography, X-Ray Computed Imaging, Three-Dimensional
View on PubMed DOI

Progressive decomposition of infrared and visible image fusion network with joint transformer and Resnet.

PloS one Aug 22, 2025
The objective of image fusion is to synthesize information from multiple source images into a single, high-quality composite that is information-rich, thereby enhancing both human visual interpretation and machine perception capabilities. This proces...
Humans Deep Learning Image Processing, Computer-Assisted Infrared Rays Neural Networks, Computer Algorithms
View on PubMed DOI

Integrating non-linear radon transformation for diabetic retinopathy grading.

Scientific reports Aug 21, 2025
Diabetic retinopathy is a serious ocular complication that poses a significant threat to patients' vision and overall health. Early detection and accurate grading are essential to prevent vision loss. Current automatic grading methods rely heavily on...
Fundus Oculi Retina Deep Learning Image Processing, Computer-Assisted Diabetic Retinopathy Neural Networks, Computer Humans
View on PubMed DOI

Enhancing B-mode-based breast cancer diagnosis via cross-attention fusion of H-scan and Nakagami imaging with multi-CAM-QUS-Driven XAI.

Physics in medicine and biology Aug 21, 2025
B-mode ultrasound is widely employed for breast lesion diagnosis due to its affordability, widespread availability, and effectiveness, particularly in cases of dense breast tissue where mammography may be less sensitive. However, it disregards critic...
Humans Diagnosis, Computer-Assisted Female Image Processing, Computer-Assisted Breast Neoplasms
View on PubMed DOI

Memory-enhanced and multi-domain learning-based deep unrolling network for medical image reconstruction.

Physics in medicine and biology Aug 21, 2025
. Reconstructing high-quality images from corrupted measurements remains a fundamental challenge in medical imaging. Recently, deep unrolling (DUN) methods have emerged as a promising solution, combining the interpretability of traditional iterative ...
Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Deep Learning
View on PubMed DOI

EchoMamba: A new Mamba model for fast and efficient hyperspectral image classification.

PloS one Aug 21, 2025
The classification of hyperspectral images (HSI) is an important foundation in the field of remote sensing. Mamba architectures based on state space model (SSM) have shown great potential in the field of HSI processing due to their powerful long-rang...
Deep Learning Image Processing, Computer-Assisted Algorithms Hyperspectral Imaging Models, Theoretical Remote Sensing Technology
View on PubMed DOI

Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention.

Scientific reports Aug 20, 2025
In histological pathology, frozen sections are often used for rapid diagnosis during surgeries, as they can be produced within minutes. However, they suffer from artifacts and often lack crucial diagnostic details, particularly within the cell nuclei...
Deep Learning Image Processing, Computer-Assisted Frozen Sections Cell Nucleus Humans
View on PubMed DOI

Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification.

Scientific reports Aug 19, 2025
Eye diseases can affect vision and well-being, so early, accurate diagnosis is crucial to prevent serious impairment. Deep learning models have shown promise for automating the diagnosis of eye diseases from images. However, current methods mostly us...
Machine Learning Algorithms Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Glaucoma Humans Diabetic Retinopathy Ensemble Learning Principal Component Analysis Eye Diseases
View on PubMed DOI
Popular Topics
Recent Journals