Akademik Veri Yönetim Sistemi
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, cilt.151, ss.57-70, 2017 (SCI-Expanded)
Background and objective: Nuclei segmentation is a common process for quantitative analysis of histopathological images. However, this process generally results in overlapping of nuclei due to the nature of images, the sample preparation and staining, and image acquisition processes as well as insufficiency of 2D histopathological images to represent 3D characteristics of tissues. We present a novel algorithm to split overlapped nuclei.