Automated histopathological image analysis: a review on ROI extraction
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 6
Abstract
Abstract: This review paper deals with the latest technology developed on computer assisted analysis for histopathology images. The process for locating, analyzing and classification of lethal diseases like cancer, using a microscope by the pathologists is termed as histopathology. Since from decade, this is done through a manual process by the pathologists, which is entirely dependent on the level of expertise of the examiner. The analyzations of digital slides are based on the structure of tissue, cell distribution, and cell shape regularities. The whole process is more prone to internal as well as external observer. In this paper, the computerized image analysis process is reviewed for quantitative tissue diagnosis from histopathology images. A summary ispresented, for digital image processing techniques, which is applicable to the area of histopathology digital slide analysis. Automatic extraction of discriminative area from histopathology digital slides is a significantresearch area. This paper describes the current state of art for extraction of discriminative area or region of interest from histology digital slides and various classification methods for analyzing these digital slides.
Authors and Affiliations
Rupesh Mandal, , Mousumi Gupta
Keywords
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