Data for: Detection of cervical cancer cells based on strong feature CNN-SVM network

Published: 26-04-2021| Version 1 | DOI: 10.17632/dkxpvp3xh7.1
Contributor:
Chuanwang Zhang

Description

1. Due to the large number of pictures, we just selected some of them for display. 2. Original negative sample and Original positive sample are raw data collected from our cooperative unit. We used 100 cervical liquid based cell slides in total, for the sake of simplicity, we have selected a positive and a negative sample for publication, so that you can see the appearance of our raw data which has not been processed. 3. Processed training material are the images which have been processed after binarization, image segmentation and image classification. This folder contains 400 epithelial cells , they are the images of single cells after a series of processes. epithelial cells has been divided into two categories including 200 cancerous epithelial cells and 200 normal epithelial cells, as the names you can see, these are the typical samples we used in the paper.

Files