RETRACTED ARTICLE: Computer aided innovation method for detection and classification of cervical cancer using ANFIS classifier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

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Bibliographic Details
Published in:Journal of ambient intelligence and humanized computing 2021-06, Vol.12 (6), p.6231-6240
Main Authors: Ponnusamy, Sukumar, Samikannu, Ravi, Venkatachary, Sampath Kumar, Sukumar, Sharmila, Ravi, Rohini
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Artificial neural networks
Automation
Cameras
Cancer
Cervical cancer
Cervix
Computational Intelligence
Developing countries
Digital imaging
Engineering
Fuzzy logic
Fuzzy sets
Human papillomavirus
Image classification
Image segmentation
LDCs
Middle age
Original Research
Pap smear
Pattern recognition
Robotics and Automation
Tumors
User Interfaces and Human Computer Interaction
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Summary: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.
ISSN:1868-5137
1868-5145
DOI:10.1007/s12652-020-02191-9