Objective quality assessment of medical images and videos: Review and challenges

R Rodrigues, L Lévêque, J Gutiérrez, H Jebbari… - Multimedia Tools and …, 2024 - Springer
Quality assessment is a key element for the evaluation of hardware and software involved in
image and video acquisition, processing, and visualization. In the medical field, user-based …

Review of Image Quality Assessment Methods for Compressed Images

S Jamil - Journal of Imaging, 2024 - mdpi.com
The compression of images for efficient storage and transmission is crucial in handling large
data volumes. Lossy image compression reduces storage needs but introduces perceptible …

Comparative analysis of wavelet transform filtering systems for noise reduction in ultrasound images

D Vilimek, J Kubicek, M Golian, R Jaros, R Kahankova… - Plos one, 2022 - journals.plos.org
Wavelet transform (WT) is a commonly used method for noise suppression and feature
extraction from biomedical images. The selection of WT system settings significantly affects …

Applicability Evaluation of Full-Reference Image Quality Assessment Methods for Computed Tomography Images

K Ohashi, Y Nagatani, M Yoshigoe, K Iwai… - Journal of Digital …, 2023 - Springer
Image quality assessments (IQA) are an important task for providing appropriate medical
care. Full-reference IQA (FR-IQA) methods, such as peak signal-to-noise ratio (PSNR) and …

A generalised deep meta-learning model for automated quality control of cardiovascular magnetic resonance images

S Nabavi, H Simchi, ME Moghaddam, AA Abin… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objectives Cardiovascular magnetic resonance (CMR) imaging is
a powerful modality in functional and anatomical assessment for various cardiovascular …

Mriqa: Subjective method and objective model for magnetic resonance image quality assessment

Q Chen, F Liu, H Duan, Y Wang, X Min… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Magnetic Resonance Imaging (MRI) is widely used for medical diagnosis, staging and follow-
up of disease. However, MRI images may have artifacts due to various reasons such as …

Unsupervised model for structure segmentation applied to brain computed tomography

PV Dos Santos, M Scoczynski Ribeiro Martins… - Plos one, 2024 - journals.plos.org
This article presents an unsupervised method for segmenting brain computed tomography
scans. The proposed methodology involves image feature extraction and application of …

[HTML][HTML] The application value of LAVA-flex sequences in enhanced MRI scans of nasopharyngeal carcinoma: comparison with T1WI-IDEAL

L Peng, B Chen, E Yu, Y Lin, J Lin, D Zheng… - Frontiers in …, 2024 - frontiersin.org
Introduction Magnetic resonance imaging (MRI) staging scans are critical for the diagnosis
and treatment of patients with nasopharyngeal cancer (NPC). We aimed to evaluate the …

Medical Relevance, State-of-the-Art and Perspectives of “Sweet Metacode” in Liquid Biopsy Approaches

A Pinkeova, N Kosutova, E Jane, L Lorencova… - Diagnostics, 2024 - mdpi.com
This review briefly introduces readers to an area where glycomics meets modern
oncodiagnostics with a focus on the analysis of sialic acid (Neu5Ac)-terminated structures …

Transfer Learning-Based Classification of Maxillary Sinus Using Generative Adversarial Networks

M Alhumaid, AG Fayoumi - Applied Sciences, 2024 - mdpi.com
Paranasal sinus pathologies, particularly those affecting the maxillary sinuses, pose
significant challenges in diagnosis and treatment due to the complex anatomical structures …