Texture analysis describes a variety of image analysis techniques that quantify the variation
in intensity and pattern. This paper provides an overview of several texture analysis …

Histopathological images (HIs) are the gold standard for evaluating some types of tumors for
cancer diagnosis. The analysis of such images is time and resource-consuming and very …

Because cervical histopathology image analysis plays a very importation role in the cancer
diagnosis and medical treatment processes, since the 1980s, more and more effective …

We proposed a method for automatic detection of cervical cancer cells in images captured
from thin liquid based cytology slides. We selected 20,000 cells in images derived from 120 …

This paper presents a review of the state-of-the-art in histopathology image representation
used in automatic image analysis tasks. Automatic analysis of histopathology images is …

Despite their many advantages and positive features, the deep neural networks are
extremely vulnerable against adversarial attacks. This drawback has substantially reduced …

Histopathologic Images (HI) are the gold standard for evaluation of some tumors. However,
the analysis of such images is challenging even for experienced pathologists, resulting in …

Cervical cancer is the fourth most common type of cancer and is also a leading cause of
mortality among women across the world. Various types of screening tests are used for its …

Cytology is a branch of pathology that deals with the microscopic examination of cells for
diagnosis of carcinoma or inflammatory conditions. In the present work, the term cytology is …

Background: Cervical cancer is one of the deadliest cancers affecting women globally.
Cervical intraepithelial neoplasia (CIN) assessment using histopathological examination of …