title: Hierarchical nucleus segmentation in digital pathology images.
abstract: Extracting nuclei is one of the most actively studied topic in the digital pathology researches. Most of the studies directly search the nuclei (or seeds for the nuclei) from the finest resolution available. While the richest information has been utilized by such approaches, it is sometimes difficult to address the heterogeneity of nuclei in different tissues. In this work, we propose a hierarchical approach which starts from the lower resolution level and adaptively adjusts the parameters while progressing into finer and finer resolution. The algorithm is tested on brain and lung cancers images from The Cancer Genome Atlas data set.
authors.affiliation: Department of Biomedical Informatics, Stony Brook University, NY, U.S.A; Department of Computer Science, Stony Brook University, NY, U.S.A; Department of Applied Mathematics & Statistics, Stony Brook University, NY, U.S.A.
authors.forename: Yi
authors.initials: Y
authors.lastname: Gao
authors.affiliation: Department of Computer Science, Stony Brook University, NY, U.S.A.
authors.forename: Vadim
authors.initials: V
authors.lastname: Ratner
authors.affiliation: Department of Computer Science, Stony Brook University, NY, U.S.A.
authors.forename: Liangjia
authors.initials: L
authors.lastname: Zhu
authors.affiliation: Department of Biomedical Informatics, Stony Brook University, NY, U.S.A.
authors.forename: Tammy
authors.initials: T
authors.lastname: Diprima
authors.affiliation: Department of Biomedical Informatics, Stony Brook University, NY, U.S.A; Department of Computer Science, Stony Brook University, NY, U.S.A.
authors.forename: Tahsin
authors.initials: T
authors.lastname: Kurc
authors.affiliation: Department of Computer Science, Stony Brook University, NY, U.S.A; Department of Applied Mathematics & Statistics, Stony Brook University, NY, U.S.A.
authors.forename: Allen
authors.initials: A
authors.lastname: Tannenbaum
authors.affiliation: Department of Biomedical Informatics, Stony Brook University, NY, U.S.A; Department of Computer Science, Stony Brook University, NY, U.S.A.
authors.forename: Joel
authors.initials: J
authors.lastname: Saltz
keywords: digital pathology; nucleus segmentation