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A review of image quality assessment (iqa): Snr, gcf, ad, nae, psnr, me
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 …
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
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 …
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 …
pregnancy. Early CHD detection reduces death rates and morbidity but is hampered by the …
: Multilevel Breast Cancer Classification Framework Using Radiomic Features
Breast cancer characterization remains a significant and challenging issue in contemporary
medicine. Accurately distinguishing between malignant and benign breast lesions is crucial …
medicine. Accurately distinguishing between malignant and benign breast lesions is crucial …
Evaluation of speckle noise reduction filters and machine learning algorithms for ultrasound images
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 …
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 …
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 …
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.
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 …
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
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 …
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
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 …
identify salt‐and‐pepper, Gaussian, Poisson, and impact noises to determine the exact …