PENERAPAN METODE TEMPLATE MATCHING PADA CITRA
CT-SCAN HATI PENDERITA KANKER OVARIUM
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Mushady, Muhammad Furqan
Kuswardani, Dwina
Agtriadi, Herman Bedi
Kuswardani, Dwina
Agtriadi, Herman Bedi
Subject
Teknik Informatika
Datestamp
2023-06-21 02:39:16
Abstract :
Cases of ovarian cancer registered in 2020 in globocan there were 313,959, for cases of liver disease as many as 905,677 for the most cases of death number 3 in 2020, namely 830,180 people. If a person suffers from ovarian cancer, there will be dilation of other organs, namely the liver and uterus. The problem I discussed was about dilation of the heart. Data obtained from the Pocket Atlas Of Sectional Anatomy, Combined (CT?MRI) Healthy Abdominal Organ Segmentation (CHAOS) Challenge and data on ovarian cancer patients from the Association Rule method journal then classified the ct-scan image of liver cancer based on 2 classifications, namely normal liver conditions or abnormal liver conditions using the template matching method. The project is entitled "Application of the Template Matching Method to the CT-Scan Image of the Liver of Ovarian Cancer Patients" In the Template Matching model which was designed using input from CT-Scan image data by conducting the pre-pocessing stage using grayscale and then classification using the template matching method with a thresholding and pixel matching process so as to get classification results, namely normal and abnormal. The application of this method can classify 30 images as test data and 28 template images can recognize images with an accuracy of 96% With a Sample of 30 data.
Cases of ovarian cancer registered in 2020 in globocan there were 313,959, for cases of liver disease as many as 905,677 for the most cases of death number 3 in 2020, namely 830,180 people. If a person suffers from ovarian cancer, there will be dilation of other organs, namely the liver and uterus. The problem I discussed was about dilation of the heart. Data obtained from the Pocket Atlas Of Sectional Anatomy, Combined (CT?MRI) Healthy Abdominal Organ Segmentation (CHAOS) Challenge and data on ovarian cancer patients from the Association Rule method journal then classified the ct-scan image of liver cancer based on 2 classifications, namely normal liver conditions or abnormal liver conditions using the template matching method. The project is entitled "Application of the Template Matching Method to the CT-Scan Image of the Liver of Ovarian Cancer Patients" In the Template Matching model which was designed using input from CT-Scan image data by conducting the pre-pocessing stage using grayscale and then classification using the template matching method with a thresholding and pixel matching process so as to get classification results, namely normal and abnormal. The application of this method can classify 30 images as test data and 28 template images can recognize images with an accuracy of 96% With a Sample of 30 data.
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