Immunohistochemistry (IHC) staining is a widely used technique in the diagnosis of
abnormal cells such as cancer. For instance, it can be used to determine the distribution and …

Introduction This review focuses on how image processing and machine learning can be
useful for the morphological characterization and automatic recognition of cell images …

Liquid-based cytology (LBC) plays a crucial role in the effective early detection of cervical
cancer, contributing to substantially decreasing mortality rates. However, the visual …

Cervical cancer poses a significant global health burden, affecting women worldwide.
Timely and accurate detection is crucial for effective treatment and improved patient …

Abstract Background and Objective: Papanicolaou staining has been successfully used to
assist early detection of cervix cancer for several decades. We postulate that this staining …

Objective: The aim of this work was to raise awareness of problems using digital
applications for examining, teaching, and applying telecytology at King Abdulaziz Medical …

The combination of mass cytometry and immunohistochemistry (IHC) enables new
histopathological imaging methods in which dozens of proteins and protein modifications …

Identification and counting of cells and mitotic figures is a standard task in diagnostic
histopathology. Due to the large overall cell count on histological slides and the potential …

Objective Artificial intelligence (AI)–based cytopathology studies conducted using deep
learning have enabled cell detection and classification. Liquid‐based cytology (LBC) has …

Background Bone marrow cytology is required to make a hematological diagnosis,
influencing critical clinical decision points in hematology. However, bone marrow cytology is …