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 …

Rough clustering has attracted increasing attention due to well dealing with the fuzziness
and uncertainty of data. It is well known that it needs to manually set the threshold to …

Atanassov intuitionistic fuzzy set (AIFS) has the capability to deal with various uncertain
situations, so its popularity among researchers is quite high. It has been observed that …

The human-brain is a vital and complicated organ within the body. Identifying brain-related
diseases can be challenging. Typically, Magnetic Resonance Imaging (MRI) scanning …

Rough fuzzy clustering algorithms have received extensive attention due to the excellent
ability to handle overlapping and uncertainty of data. However, existing rough fuzzy …

Brain tumor is an anomalous growth of brain cells. Segmentation of brain tumors is currently
the most important surgical and pharmaceutical procedure. However, manually segmenting …

National costume contains rich patterns and patterns with national characteristics, which is
an important part of the study of national costume culture. Neither the traditional protection of …

Entre las distintas áreas de la Inteligencia Artificial se encuentra el Reconocimiento de
Patrones y la Visión por Computadora, que se han beneficiado utilizando los métodos de …

In view of the present situation that most aggregation methods of fuzzy preference
information are extended or mixed by classical aggregation operators, which leads to the …

The accuracy of active contour methods is not always exact since there are many uncertainty
factors, eg, abundant noise, lack of clear boundaries, intensity inhomogeneity. To tackle …