As a mainstream research direction in the field of image segmentation, medical image
segmentation plays a key role in the quantification of lesions, three-dimensional …

Because of the variety of shapes, locations, and image intensities, image segmentation is a
more difficult endeavor in image processing. The most frequent diseases in the world are …

Medical imaging is essential for accurate diagnosis. In medical imaging, various algorithms
for image denoising have been developed. However, some drawbacks have been identified …

Various image denoising algorithms have been developed for medical imaging. But some
disadvantages have been found, including the block effect, which increases smoothing, and …

The Editor-in-Chief and the publisher have retracted this article, which was submitted as part
of a guest-edited special section. An investigation uncovered evidence of systematic …

There is no doubt that brain tumors are one of the leading causes of death in the world. A
biopsy is considered the most important procedure in cancer diagnosis, but it comes with …

Brain tumors are abnormal cell growths inside the skull that damage brain cells needed for
brain function. The complex structure of the human brain makes it challenging to identify and …

Brain tumors are one of the most serious disorders that may affect humans. The early
detection of a brain tumor is critical for its treatment. The precise locations of the tumor and …

Detection of brain tumors plays a vital role in medical image processing. If the brain tumors
are detected in advance then there is a chance to improve the treatment options and boost …

Image distortion may result from a variety of factors, such as changes in electronic imaging
equipment that create noise. The goal of blur image alignment is to determine which images …