Volume 18, No. 6, 2021
Diagnosis Of Uterus Cervical Cancer Using MRI Images With Cnn Compared With ANFIS Approach
Dr. Rajasekaran.S , Mrs. Hemalatha.B , Dr .Neduncheliyan.S
Abstract
Earlier detection of cancer is spotted using an MRI scan. The Magnetic Resonance Imaging technique is used to look at the structures and organs present inside the body. Health care professionals use MRI scans for diagnosing torn ligaments to tumors. MRI scans offer good soft tissue contrast than CT. Many types of cancer cell formation like, breast cancer, bladder cancer, kidney cancer, colorectal cancer, oral and oropharyngeal cancer. The dreadful types of cancer is colorectal cancer Abnormal vaginal discharge means heavy or with a foul odor, pain during intercourse, pelvic pain, lower back pain, swelling and pain in legs, weight loss, and decreased appetite. Most of the women have a risk of cervical cancer. It will happenfor women over the age of 30. The primary objective of this research work is to confirm the formation of CC (Cervical cancer) in an earlier stage. MRI images are the input of the proposed system. It implements using the python programming language.
Pages: 1-9
Keywords: Convolutional Neural Network(CNN), Cervical Cancer, MRI, Adaptive Neuro-Fuzzy Inference System(ANFIS).