Endometrial Cancer Detection Using Histopathological Image by Machine Learning Techniques
B T Keerthishree, Pushpa Ravikumar · 2024
In women the maximum common cause for demise at the present time is endometrial cancer. Since previous few years Image processing has added its acceptance in recognition of Endometrial cancer. Application of image processing techniques and Machine learning techniques in medicinal arena has been growing day by day. This outcomes in innovative developments in identifying disease precisely. This paper implements a classification technique of endometrial cancer with the total cell count, damaged cell count, overlapped cell count. The proposed model illustrate the consequence of spread on image processing process like, preprocessing, segmentation and feature extraction.