Objective quality assessment of medical images and videos: Review and challenges
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 …
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 …
data volumes. Lossy image compression reduces storage needs but introduces perceptible …
Comparative analysis of wavelet transform filtering systems for noise reduction in ultrasound images
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 …
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 …
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
Abstract Background and Objectives Cardiovascular magnetic resonance (CMR) imaging is
a powerful modality in functional and anatomical assessment for various cardiovascular …
a powerful modality in functional and anatomical assessment for various cardiovascular …
Mriqa: Subjective method and objective model for magnetic resonance image quality assessment
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 …
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 …
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 …
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 …
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 …
significant challenges in diagnosis and treatment due to the complex anatomical structures …