RETRACTED ARTICLE: Computer aided innovation method for detection and classification of cervical cancer using ANFIS classifier

Early detection of cervical tumour is very important to minimise deaths due to cervical cancer. Further it provides a deep
insight into the anatomical information of the normal and abnormal cervix and helps in planning for a good treatment well
in advance. Numerous techniques are used to detect malignancy through image segmentation. One such segmentation
technique is discussed here. The proposed technique uses Artificial Neural Network Fuzzy Inference system (ANFIS) and
watershed segmentation techniques for image classification and processing and compares the results with known techniques.
A comprehensive set of fuzzy rules was used in the experiment to classify abnormal images to the corresponding malignancy.
The experiment shows that the proposed technique is feasible and provides greater accuracy in detection of tumour types.
Keywords Cervical cancer · Image classification · Tumour · Fuzzy rules · Neural network