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

Histopathological image analysis is the gold standard to diagnose cancer. Carcinoma is a
subtype of cancer that constitutes more than 80% of all cancer cases. Squamous cell …

In many computerized methods for cell detection, segmentation, and classification in digital
histopathology that have recently emerged, the task of cell segmentation remains a chief …

Many diseases are accompanied by changes in certain biochemical indicators called
biomarkers in cells or tissues. A variety of biomarkers, including proteins, nucleic acids …

Cell classification refers to detecting normal and diseased cells from small amount of data.
Sometimes, classification of cells becomes difficult because some cells fall into more than …

Tumor is comprised of abnormally growing regions that is dangerous for human survival.
Therefore, early stage tumor detection is useful for increase of survival rate although it is …

In recent years, we have witnessed the fast growth of deep learning, which involves deep
neural networks, and the development of the computing capability of computer devices …

Cancer is one of the most critical diseases that has caused several deaths in today's world.
In most cases, doctors and practitioners are only able to diagnose cancer in its later stages …

In this paper, we first describe the basics of the field of cancer diagnosis, which includes
steps of cancer diagnosis followed by the typical classification methods used by doctors …

Breast cancer affects one out of eight females worldwide. It is diagnosed by detecting the
malignancy of the cells of breast tissue. Modern medical image processing techniques work …