Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology

Digital pathology (DP) is the process by which histology slides are digitized to produce high resolution images via whole slide digital scanners [1]. These digitized slides afford the possibility of applying image analysis techniques to tissue images for the purpose of object detection, segmentation, and tissue classification. These automated image analysis algorithms are very relevant for nuclei detection, mitosis quantification, and tubule counting. Additionally these image analysis algorithms provide the ability of performing higher level, supervised learning tasks such as disease grading, thereby enabling the development of decision support algorithms for pathologists [2].

Source: Computerized Medical Imaging and Graphics - May 15, 2016 Category: Radiology Authors: Andrew Janowczyk, Ajay Basavanhally, Anant Madabhushi Source Type: research