… to present four contributions to the field of cell segmentation in histopathological images: …
to the cell segmentation process in high-resolution histopathological images by using the SLIC …

… to histopathology images noted earlier, we propose a method combining the LoG filter with
automatic … Aside from advances in seed detection, the field of automated image analysis has …

… makes reliable segmentation and classification hard. In this paper, an automatic quantitative
image … In this paper, an automatic CADx scheme of BCH images is proposed. For the nuclei …

… Since cell detection and segmentation are critical for … histopathological images. In response,
we sought to identify a useful cell segmentation approach with histopathological images that …

… We present an automated cell nuclei segmentation approach that works with H&E-stained …
a fully automatic method for nuclei segmentation in H&E-stained histopathology images. The …

… segmentation and detection in histopathological images. The proposed technique first utilizes
the multi-spectral images to generate a discriminative image … the mitotic cells and other …

… nature of histology images. The … cell segmentation and touching-cell splitting method that
can be used to deal with the outlined issues in computer-assisted histopathological image …

… is the automatic segmentation of cell nuclei from this type of image data. Here, we present
a fully automated workflow to segment nuclei from histopathology image data by using deep …

… and segments cells from histopathological images. For training, a set of images and their …
Detection and segmentation of cells are performed on the images for testing. The output is a …

… analysis software already incorporates machine learning algorithms to assist researchers
and clinicians in quantifying and segmenting histopathological images. These tools have …