Accurate medical image segmentation is paramount for precise diagnosis and treatment in
modern healthcare. This research presents a comprehensive study of the efficacy of particle …

Skin diseases are increasing and becoming a very serious problem. Skin cancer in general
there are 2, namely melanoma and non-melanoma. Cases that are often encountered are in …

To divide a digital image into individual parts that share similar characteristics is known as
digital image segmentation, and it is a vital research subject in the field of computer vision …

Precise biomedical image segmentation is pivotal in medical diagnosis and treatment.
Among various methodologies, image processing-based techniques are useful due to their …

This scoping review systematizes the current research related to the use of both blockchain
and machine learning techniques in medical imaging applications. A systematic electronic …

Automatic segmentation of liver blood vessels from CT images is very helpful for clinical
surgery. Due to the small volume, variable shape and low contrast of CT images, it is difficult …

Images store large amount of information that are used in visual representation, analysis,
and expression of data. Storage and retrieval of images possess a greater challenge to …

Earthquake impacts affect offshore wind farms in seismically active places. Seismic analysis
of a monopile offshore wind turbine in various configurations is done in this paper. A finite …

Analyzing big data, especially medical data, helps to provide good health care to patients
and face the risks of death. The COVID-19 pandemic has had a significant impact on public …

ABSTRACT A computational investigation has been carried out to investigate the inverse
design problem for a magnetic projector lenses. Actually, an analytical expression has …