  Medical imaging is the most important tool for detecting complications in the
inner body of medicine. Nowadays, with the development of image processing
technology as well as changing the size of photos to higher resolution images
in the field of digital medical imaging, there is an efficient and accurate
system for segmenting this. Real-world images that for a variety of reasons
have poor heterogeneity, noise and contrast are essential. Digital image
segmentation in medicine is used for diagnostic and therapeutic analysis, which
is very helpful for physicians. In this study, we aim at liver cancer
photographs, which aim to more accurately detect the lesion or tumor of the
liver because accurate and timely detection of the tumor is very important in
the survival and life of the patient.The aim of this paper is to simplify the
obnoxious study problems related to the study of MR images. The liver is the
second organ most generic involved by metastatic disease being liver cancer one
of the prominent causes of death worldwide. Without healthy liver a person
cannot survive. It is life threatening disease which is very challenging
perceptible for both medical and engineering technologists. Medical image
processing is used as a non-invasive method to detect tumours. The chances of
survival having liver Tumor highly depends on early detection of Tumor and then
classification as cancerous and noncancerous tumours. Image processing
techniques for automatic detection of brain are includes pre-processing and
enhancement, image segmentation, classification and volume calculation, Poly
techniques have been developed for the detection of liver Tumor and different
liver toM oR detection algorithms and methodologies utilized for Tumor
diagnosis. Novel methodology for the detection and diagnosis of liver Tumor.
