Digital cytology and artificial intelligence (AI) are gaining greater adoption in the cytology
laboratory. However, peer reviewed real-world data and literature are lacking in regard to …

A digital microscopy image is an array of number values, which with adequate contrast can
be interpreted as spatial information. Through processing and analysis by mathematical …

The demand for accurate and reproducible phenotyping of a disease trait increases with the
rising number of biobanks and genome wide association studies. Detailed analysis of …

Introduction: Cell nuclei are important indicators of cellular processes and diseases.
Segmentation is an essential stage in systems for quantitative analysis of nuclei extracted …

Cervical cancer is the second most common cancer type in women. This is a deadly disease
that could benefit from early detection methods. Cytology is a possible, noninvasive …

Automatic quantification and classification of leukocytes in microscopic images are of
paramount importance in the perspective of disease identification, its progress and drugs …

Cytopathology stands to gain a multitude of benefits from the movement toward digitization.
The increased demand for rapid on-site evaluation (ROSE), primary diagnosis, education …

Early detection of cancer is important to improve survival and reduce associated morbility.
Nowadays, there is no automatic classification process with enough accuracy to be …

Identifying nuclei is often a critical first step in analyzing microscopy images of cells and
classical image processing algorithms are most commonly used for this task. Recent …

The recent years have been characterised by a rapid development of whole slide imaging
(WSI) especially in its applications to histology. The application of WSI technology to …