The advent of whole slide imaging has brought advanced computer-aided diagnosis via
medical imaging and artificial intelligence technologies in digital pathology. The …

Whole Slide Images (WSI) are widely used in histopathology for research and the diagnosis
of different types of cancer. The preparation and digitization of histological tissues leads to …

Staining and scanning of tissue samples for microscopic examination is fraught with
undesirable color variations arising from differences in raw materials and manufacturing …

Over the past decade, dramatic increases in computational power and improvement in
image analysis algorithms have allowed the development of powerful computer-assisted …

Inconsistencies in the preparation of histology slides make it difficult to perform quantitative
analysis on their results. In this paper we provide two mechanisms for overcoming many of …

Histopathology images are used for the diagnosis of the cancerous disease by the
examination of tissue with the help of Whole Slide Imaging (WSI) scanner. A decision …

Digital histopathology slides have many sources of variance, and while pathologists typically
do not struggle with them, computer aided diagnostic algorithms can perform erratically. This …

This paper addresses the task of nuclei segmentation in high-resolution histopathology
images. We propose an automatic end-to-end deep neural network algorithm for …

The histological assessment of human tissue has emerged as the key challenge for
detection and treatment of cancer. A plethora of different data sources ranging from tissue …

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