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ABSTRACT: Background
The protein ki67 (pki67) is a marker of tumor aggressiveness, and its expression has been proven to be useful in the prognostic and predictive evaluation of several types of tumors. To numerically quantify the pki67 presence in cancerous tissue areas, pathologists generally analyze histochemical images to count the number of tumor nuclei marked for pki67. This allows estimating the ki67-index, that is the percentage of tumor nuclei positive for pki67 over all the tumor nuclei. Given the high image resolution and dimensions, its estimation by expert clinicians is particularly laborious and time consuming. Though automatic cell counting techniques have been presented so far, the problem is still open.Results
In this paper we present a novel automatic approach for t
SUBMITTER: Barricelli BR
PROVIDER: S-EPMC6935242 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature