@inproceedings{024cbb60dec840ed926ff634683372a6,
title = "Weakly supervised cell nuclei detection and segmentation on tissue microarrays of renal clear cell carcinoma",
abstract = "Renal cell carcinoma (RCC) is one of the ten most frequent malignancies in Western societies and can be diagnosed by histological tissue analysis. Current diagnostic rules rely on exact counts of cancerous cell nuclei which are manually counted by pathologists. We propose a complete imaging pipeline for the automated analysis of tissue microarrays of renal cell cancer. At its core, the analysis system consists of a novel weakly supervised classification method, which is based on an iterative morphological algorithm and a soft-margin support vector machine. The lack of objective ground truth labels to validate the system requires the combination of expert knowledge of pathologists. Human expert annotations of more than 2000 cell nuclei from 9 different RCC patients are used to demonstrate the superior performance of the proposed algorithm over existing cell nuclei detection approaches.",
author = "Fuchs, {Thomas J.} and Tilman Lange and Wild, {Peter J.} and Holger Moch and Buhmann, {Joachim M.}",
year = "2008",
doi = "10.1007/978-3-540-69321-5_18",
language = "English",
isbn = "3540693203",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "173--182",
booktitle = "Pattern Recognition - 30th DAGM Symposium, Proceedings",
note = "30th DAGM Symposium on Pattern Recognition ; Conference date: 10-06-2008 Through 13-06-2008",
}