… [15] for segmentation of mammalian cells in microscopy images. For a broader overview of
the topic of image analysis in histopathology images … Although many nuclei/cell segmentation …

… Since histopathological images provide extensive information regarding cell morphology
and … However, the manual assessment of histopathological images by a Pathologist is time-…

… the cellular and tissue-levels, is based on (i) extracting information from the histopathological
images … 1Thereafter, we use “cell segmentation” to refer both segmenting a nucleus and a …

… segmentation technique, it is prone to errors like oversegmentation when applied to histological
images… to improve segmentation of cell nuclei in histological images. Foreground seeds …

… issues in computer-assisted histopathological image analysis. … histopathological images
via a classification algorithm, where each pixel is categorized into either the cell or extra-cellular …

… healthy cell nuclei … cell nuclei and segmenting exact boundaries that is a necessity for
nuclear pleomorphism scoring. In [17] only critical cell nuclei that affect the score are segmented …

… In the first stage, cells are classified as ones with segmented and non… Segmentation is
a crucial and challenging step in most histological image analysis problems. Performance of …

… segmentation in high-resolution histopathology images. We propose an automatic end-to-end
deep neural network algorithm for segmentation … normal or cancer cells, recognizing tissue …

… ’s coefficients values on segmented bio-images. This paper … cell images based on one
analysis Haralick’s coefficients extracted from segmented multi-spectral histopathological images. …

… cell nuclei in H&E stained histopathological images. In their work, the two kinds of cells (cancer
cell … However, in skin histopathological images, the size of melanocytes are very similar …