Cytology is a low-cost and non-invasive diagnostic procedure employed to support the
diagnosis of a broad range of pathologies. Cells are harvested from tissues by aspiration or …

Computational cytology is a critical, rapid-developing, yet challenging topic in medical
image computing concerned with analyzing digitized cytology images by computer-aided …

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: The incorporation of digital pathology into routine pathology practice is
becoming more widespread. Definite advantages exist with respect to the implementation of …

Artificial intelligence, deep convolutional neural networks, and deep learning are all niche
terms that are increasingly appearing in scientific presentations as well as in the general …

Introduction Urine cytology offers a rapid and relatively inexpensive method to diagnose
urothelial neoplasia. In our setting of a public sector laboratory in South Africa, urothelial …

Automated image analysis of cells and tissues has been an active research field in medical
informatics for decades but has recently attracted increased attention due to developments …

Cell culture is undeniably important for multiple scientific applications, including
pharmaceuticals, transplants, and cosmetics. However, cell culture involves multiple manual …

Abstract Machine vision is being employed in defect detection, size measurement, pattern
recognition, image fusion, target tracking and 3D reconstruction. Traditional cancer detection …

Examination of tissue biopsy and quantification of the various characteristics of cellular
processes are clinical benchmarks in cancer diagnosis. Nuclei and glands instance …