Nuclear-derived morphological features and biomarkers provide relevant insights regarding
the tumour microenvironment, while also allowing diagnosis and prognosis in specific …

With the advent of digital pathology and microscopic systems that can scan and save whole
slide histological images automatically, there is a growing trend to use computerized …

The primary step in tissue cytometry is the automated distinction of individual cells
(segmentation). Since cell borders are seldom labeled, cells are generally segmented by …

Many noncoding RNAs (ncRNAs) have been identified, and many of them play vital roles in
various biological processes, including gene expression regulation, epigenetic regulation …

The rapid increase in cases of non-alcoholic fatty liver disease (NAFLD) in recent years has
raised significant public concern. Accurately identifying tissue alteration regions is crucial for …

Partitional clustering techniques such as K-Means (KM), Fuzzy C-Means (FCM), and Rough
K-Means (RKM) are very simple and effective techniques for image segmentation. But …

Cervical cell segmentation is a significant task in medical image analysis and can be used
for screening various cervical diseases. In recent years, substantial progress has been …

White blood cells (WBCs) are crucial microscopic defenders of the human immune system in
combating transmittable conditions triggered by germs, infections, and various other human …

In histopathology, nuclei within images hold vital diagnostic information. Automated
segmentation of nuclei can alleviate pathologists' workload and enhance diagnostic …

Cells' structure is key to understanding cellular function, diagnostics, and therapy
development. Soft X-ray tomography (SXT) is a unique tool to image cellular structure …