In healthcare, medical practitioners employ various imaging techniques such as CT, X-ray,
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …

Background and objective: Leukaemia is a disease found worldwide; it is a type of cancer
that originates in the bone marrow and is characterised by an abnormal proliferation of white …

Stroke is among the first pathologies that kill the most in the world, ranking second in deaths
from illness. Each year, around 16 million people worldwide are victims of this disease, with …

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 …

Image segmentation is considered a pertinent prerequisite for numerous tasks in digital
image processing. The procedure through which identical segments in an image are …

Dermoscopic images are commonly used in the early diagnosis of skin lesions, and several
computational systems have been proposed to analyze them. The segmentation of the …

In practical applications, we are more likely to face semi-supervised data with a small
amount of independent class label or constraint information and many unlabeled instances …

With the rapid increase in the number of collected data samples, semi-supervised clustering
(SSC) has become a useful mining tool to find an intrinsic data structure with the help of prior …

The skin is an essential system for the human body, also the most susceptible to diseases.
The diagnosis of these diseases is made mainly through dermatoscopy images, a …