… many regions of texture presented in the image segmented. … , the nucleus detection
method on Pap smear images … of cell clusters in Pap smear images using intensity variation …

… by pre-processing and combining images. They took four … nucleus detection of the Pap
smear image. They claimed that the SSAE method could produce advanced pixel intensity feature …

… , cytology screening tests of cervical cancer such as Pap smear [3… Mean is the average of
the intensity levels of an image, and … In this paper, the combination of three texture features and …

… kurtosis, as well as intensity features based on ripplet transform. … the segmentation of nuclei
from the pap smear images. The … by combining hand-crafted features with the deep features …

… Nuclei are low-intensity in our multicell image, and their … combined into aberrant cells,
resulting in a total of 2122 cells. … Through image analysis of Pap smear pictures, this research …

… We adopt a split and merge quadtree decomposition strategy where the image is divided …
Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images…

… feature extraction is based on size, shape, the texture of the cell, and color-intensity information
from the Pap smear cell … the region of the nucleus from the Pap smear slide. The fuzzy …

… for cervix cancer using Pap smear image is described in this … for cervical cancers, including
pap smear segmentation, texture-… The intensity range of pixels varies based on the present …

… merging regions based on pixel adjacency and intensity … to analyse Pap smear slides,
extracting the cells through … between the abnormal cells’ nucleus shape and texture, making them …

… four nucleus properties, including solidity, average intensity, … The method combines selective
search with mathematical … method of ROI extraction that focuses on the texture, shape, and …