A review of image quality assessment (iqa): Snr, gcf, ad, nae, psnr, me

WA Mustafa, H Yazid, M Jaafar, M Zainal… - Journal of advanced …, 2017 - akademiabaru.com
Image quality assessment (IQA) is an objective way to measure the visual quality of an
image, and it plays a crucial role in many image processing techniques. Recently, a lot of …

A new wavelet family for speckle noise reduction in medical ultrasound images

AS Leal, HM Paiva - Measurement, 2019 - Elsevier
Ultrasonography is highly used as an image tool for medical diagnosis due to its non-
invasive nature, low cost, adaptability and the possibility of real-time visualization. However …

Investigation on ultrasound images for detection of fetal congenital heart defects

S Satish, NHA Rufus - Biomedical Physics & Engineering …, 2024 - iopscience.iop.org
Congenital heart defects (CHD) are one of the serious problems that arise during
pregnancy. Early CHD detection reduces death rates and morbidity but is hampered by the …

: Multilevel Breast Cancer Classification Framework Using Radiomic Features

L Panigrahi, TB Chandra, AK Srivastava… - … Journal of Intelligent …, 2024 - Wiley Online Library
Breast cancer characterization remains a significant and challenging issue in contemporary
medicine. Accurately distinguishing between malignant and benign breast lesions is crucial …

Evaluation of speckle noise reduction filters and machine learning algorithms for ultrasound images

K Sikhakhane, S Rimer, M Gololo, K Ouahada… - IEEE …, 2024 - ieeexplore.ieee.org
Medical ultrasound imaging involves the use of high-frequency sound waves to produce
images of various body parts. A transducer generates these sound waves, which traverse …

Frequency division denoising algorithm based on VIF adaptive 2D-VMD ultrasound image

H Yan, P Zhao, Z Du, Y Xu, P Liu - Plos one, 2021 - journals.plos.org
Ultrasound imaging has developed into an indispensable imaging technology in medical
diagnosis and treatment applications due to its unique advantages, such as safety …

[HTML][HTML] Image segmentation based on statistical confidence intervals

P Buenestado, L Acho - Entropy, 2018 - mdpi.com
Image segmentation is defined as a partition realized to an image into homogeneous
regions to modify it into something that is more meaningful and softer to examine. Although …

[PDF][PDF] Breast cancer diagnosis: a survey of pre-processing, segmentation, feature extraction and classification.

ES Pour, M Esmaeili, M Romoozi - International Journal of Electrical …, 2022 - academia.edu
Machine learning methods have been an interesting method in the field of medical for many
years, and they have achieved successful results in various fields of medical science. This …

[HTML][HTML] Noise reduction and mammography image segmentation optimization with novel QIMFT-SSA method

S Widiastuti, HS Omer, E Mohsen… - Компьютерная …, 2022 - cyberleninka.ru
Breast cancer is one of the most dreaded diseases that affects women worldwide and has
led to many deaths. Early detection of breast masses prolongs life expectancy in women and …

Breast sentinel lymph node cancer detection from mammographic images based on quantum wavelet transform and an atrous pyramid convolutional neural network

MN Qasim, TA Mohammed, O Bayat - Scientific Programming, 2022 - Wiley Online Library
This study proposes an optimal approach to reduce noise in mammographic images and to
identify salt‐and‐pepper, Gaussian, Poisson, and impact noises to determine the exact …