With the rise in whole slide scanner technology, large numbers of tissue slides are being
scanned and represented and archived digitally. While digital pathology has substantial …

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

This paper presents an overview of the image analysis techniques in the domain of
histopathology, specifically, for the objective of automated carcinoma detection and …

The identification of phenotypic changes in breast cancer (BC) histopathology on account of
corresponding molecular changes is of significant clinical importance in predicting disease …

Simple Summary The diagnosis and prediction of prognosis for bladder cancer (BC) can be
challenging because of the subjective nature of pathological evaluation. Artificial …

Automated analysis of whole mount tissue sections can provide insights into tumor subtypes
and the underlying molecular basis of neoplasm. However, since tumor sections are …

An automatic segmentation of leukocytes can assist pharmaceutical companies to take
decisions in the discovery of drugs and encourages for development of automated leukocyte …

Objectives One of the most reliable methods for diagnosing bladder cancer is cystoscopy.
Depending on the findings, this may be followed by a referral to a more experienced …

Background Digital image analysis has the potential to address issues surrounding
traditional histological techniques including a lack of objectivity and high variability, through …

A multi-classifier diagnostic system was designed for distinguishing between benign and
malignant thyroid nodules from routinely taken (FNA, H&E-stained) cytological images. To …