Classification of Colon Cancer Based on Hispathological Images using Adaptive Neuro Fuzzy Inference System (ANFIS)
Cancer is a disease that is widely known and suffered by people in various countries. One type of cancer classified as the third contributor to death is colon cancer, with a mortality rate of 9.4%. Colon cancer is cancer that attacks the large intestine or rectum. Classification of colon cancer prom...
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| Format: | UMS Journal (OJS) |
| Language: | eng |
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Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia
2023
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| Online Access: | https://journals.ums.ac.id/index.php/khif/article/view/17611 |
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| author | Hidayah, Nur Ramadanti, Alvin Nuralif Novitasari, Dian Candra Rini |
| author_facet | Hidayah, Nur Ramadanti, Alvin Nuralif Novitasari, Dian Candra Rini |
| author_sort | Hidayah, Nur |
| collection | OJS |
| description | Cancer is a disease that is widely known and suffered by people in various countries. One type of cancer classified as the third contributor to death is colon cancer, with a mortality rate of 9.4%. Colon cancer is cancer that attacks the large intestine or rectum. Classification of colon cancer promptly is necessary to carry out appropriate treatment to reduce the death rate from colon cancer. This study uses the ANFIS method to classify colon cancer with its texture analysis using GLRLM. In addition, the evaluation model used in this study is the K-fold cross-validation method. This research uses colon cancer histopathological image data, which is 10000 image data divided into 2 classes, namely 5000 benign class and 5000 adenocarcinoma class. The best result in this study is when using k = 5 at an orientation angle of 135°, the accuracy value is 85.57%, sensitivity is 91.72%, and specificity is 80.55%. |
| format | UMS Journal (OJS) |
| id | oai:ojs2.journals.ums.ac.id:article-17611 |
| institution | Universitas Muhammadiyah Surakarta |
| language | eng |
| publishDate | 2023 |
| publisher | Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia |
| record_format | ojs |
| spelling | oai:ojs2.journals.ums.ac.id:article-17611 Classification of Colon Cancer Based on Hispathological Images using Adaptive Neuro Fuzzy Inference System (ANFIS) Hidayah, Nur Ramadanti, Alvin Nuralif Novitasari, Dian Candra Rini ANFIS; classification; colon cancer; GLRLM; K-fold cross validation Cancer is a disease that is widely known and suffered by people in various countries. One type of cancer classified as the third contributor to death is colon cancer, with a mortality rate of 9.4%. Colon cancer is cancer that attacks the large intestine or rectum. Classification of colon cancer promptly is necessary to carry out appropriate treatment to reduce the death rate from colon cancer. This study uses the ANFIS method to classify colon cancer with its texture analysis using GLRLM. In addition, the evaluation model used in this study is the K-fold cross-validation method. This research uses colon cancer histopathological image data, which is 10000 image data divided into 2 classes, namely 5000 benign class and 5000 adenocarcinoma class. The best result in this study is when using k = 5 at an orientation angle of 135°, the accuracy value is 85.57%, sensitivity is 91.72%, and specificity is 80.55%. Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2023-10-29 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journals.ums.ac.id/index.php/khif/article/view/17611 10.23917/khif.v9i2.17611 Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika; Vol. 9 No. 2 October 2023; 162-168 Khazanah Informatika; Vol. 9 No. 2 October 2023; 162-168 2477-698X 2621-038X eng https://journals.ums.ac.id/index.php/khif/article/view/17611/8764 Copyright (c) 2023 Nur Hidayah, Alvin Nuralif Ramadanti, Dian Candra Rini Novitasari https://creativecommons.org/licenses/by/4.0 |
| spellingShingle | ANFIS; classification; colon cancer; GLRLM; K-fold cross validation Hidayah, Nur Ramadanti, Alvin Nuralif Novitasari, Dian Candra Rini Classification of Colon Cancer Based on Hispathological Images using Adaptive Neuro Fuzzy Inference System (ANFIS) |
| title | Classification of Colon Cancer Based on Hispathological Images using Adaptive Neuro Fuzzy Inference System (ANFIS) |
| title_full | Classification of Colon Cancer Based on Hispathological Images using Adaptive Neuro Fuzzy Inference System (ANFIS) |
| title_fullStr | Classification of Colon Cancer Based on Hispathological Images using Adaptive Neuro Fuzzy Inference System (ANFIS) |
| title_full_unstemmed | Classification of Colon Cancer Based on Hispathological Images using Adaptive Neuro Fuzzy Inference System (ANFIS) |
| title_short | Classification of Colon Cancer Based on Hispathological Images using Adaptive Neuro Fuzzy Inference System (ANFIS) |
| title_sort | classification of colon cancer based on hispathological images using adaptive neuro fuzzy inference system anfis |
| topic | ANFIS; classification; colon cancer; GLRLM; K-fold cross validation |
| topic_facet | ANFIS; classification; colon cancer; GLRLM; K-fold cross validation |
| url | https://journals.ums.ac.id/index.php/khif/article/view/17611 |
| work_keys_str_mv | AT hidayahnur classificationofcoloncancerbasedonhispathologicalimagesusingadaptiveneurofuzzyinferencesystemanfis AT ramadantialvinnuralif classificationofcoloncancerbasedonhispathologicalimagesusingadaptiveneurofuzzyinferencesystemanfis AT novitasaridiancandrarini classificationofcoloncancerbasedonhispathologicalimagesusingadaptiveneurofuzzyinferencesystemanfis |