Automated Analysis of PIN-4 Stained Prostate Needle Biopsies

Autor:	Bikash Sabata, Boris Babenko, Chukka Srinivas, Robert Monroe
Rok vydání:	2010
Předmět:	Pathology medicine.medical_specialty business.industry medicine.disease First generation Prostate needle biopsy medicine.anatomical_structure Prostate Computer-aided diagnosis medicine Medical imaging Whole slide image Adenocarcinoma business
Zdroj:	Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention ISBN: 9783642159886 Prostate Cancer Imaging
DOI:	10.1007/978-3-642-15989-3_11
Popis:	Prostate Needle biopsies are stained with the PIN-4 marker cocktail to help the pathologist distinguish between HGPIN and adenocarcinoma. The correct interpretation of multiple IHC markers can be challenging. Therefore we propose the use of computer aided diagnosis algorithms for the identification and classification of glands in a whole slide image of prostate needle biopsy. The paper presents the different issues related to the automated analysis of prostate needle biopsies and the approach taken by BioImagene in its first generation algorithms.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::09a8e6b702fd26ab3c287346e918bbad https://doi.org/10.1007/978-3-642-15989-3_11 Zobrazit plný text záznamu