SEGMENTASI CITRA MRI MENGGUNAKAN DETEKSI TEPI UNTUK IDENTIFIKASI KANKER PAYUDARA
DOI:
https://doi.org/10.30812/matrik.v15i2.38Keywords:
segmentation, MRI, edge detection, breast cancerAbstract
One type of cancer that is capable identifed using MRI technology is breast cancer. Breast cancer is still the leading cause of death world. therefore early detection of this disease is needed. In identifying breast cancer, a doctor or radiologist analyzing the results of magnetic resonance image that is stored in the format of the Digital Imaging Communication In Medicine (DICOM). It takes skill and experience suffcient for diagnosis is appropriate, and accurate, so it is necessary to create a digital image processing applications by utilizing the process of object segmentation and edge detection to assist the physician or radiologist in identifying breast cancer. MRI image segmentation using edge detection to identifcation of breast cancer using a method stages gryascale change the image format, then the binary image thresholding and edge detection process using the latest Robert operator. Of the 20 tested the input image to produce images with the appearance of the boundary line of each region or object that is visible and there are no edges are cut off, with the average computation time less than one minute.
Downloads
Download data is not yet available.
References
[1]. Kadir, Abdul, and Adhi Susanto [2013], Teori dan Aplikasi Pengolahan Citra, 1st.edition, CV.ANDI OFFSET., Yogyakarta.
[2]. Kadir, Abdul [2013], Dasar Pengolahan Citra dengan DELPHI, 1st.edition, CV.ANDI OFFSET., Yogyakarta.
[3]. Nurhasanah and Ihwan, Andi [2013]. Deteksi Tepi Citra Kanker Payudara dengan Menggunakan Laplacian of Gaussian (LOG). Procedings Semirata FMIPA Universitas Lampung.
[4]. Nurhasanah [2011]. Segmentasi Jaringan Ota Putih, Jaringan Otak Abu-Abu dan cairan Otak dari Citra MRI Menggunakan Teknik K-Means Clustering. Jurnal Aplikasi Fisika Vol.7, No.2. FMIPA Universsitas Tanjungpura.
[5]. Gonzalez, Rafael, Woods, Richard E [2007]. Digilat Image Processing, Third Edition. Pearson
[2]. Kadir, Abdul [2013], Dasar Pengolahan Citra dengan DELPHI, 1st.edition, CV.ANDI OFFSET., Yogyakarta.
[3]. Nurhasanah and Ihwan, Andi [2013]. Deteksi Tepi Citra Kanker Payudara dengan Menggunakan Laplacian of Gaussian (LOG). Procedings Semirata FMIPA Universitas Lampung.
[4]. Nurhasanah [2011]. Segmentasi Jaringan Ota Putih, Jaringan Otak Abu-Abu dan cairan Otak dari Citra MRI Menggunakan Teknik K-Means Clustering. Jurnal Aplikasi Fisika Vol.7, No.2. FMIPA Universsitas Tanjungpura.
[5]. Gonzalez, Rafael, Woods, Richard E [2007]. Digilat Image Processing, Third Edition. Pearson
Downloads
Published
2016-05-24
Issue
Section
Articles
How to Cite
[1]
E. Farijki and B. K. Triwijoyo, “SEGMENTASI CITRA MRI MENGGUNAKAN DETEKSI TEPI UNTUK IDENTIFIKASI KANKER PAYUDARA”, MATRIK, vol. 15, no. 2, pp. 17–24, May 2016, doi: 10.30812/matrik.v15i2.38.
Similar Articles
- Radimas Putra Muhammad Davi Labib, Sirojul Hadi, Parama Diptya Widayaka, Low Cost System for Face Mask Detection Based Haar Cascade Classifier Method , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Wilda Imama Sabilla, Mamluatul Hani'ah, Ariadi Retno Tri Hayati Ririd, Astrifidha Rahma Amalia, Proliferative Diabetic Retinopathy Detection Using Convolutional Neural Network with Enhanced Retinal Image , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 25 No. 1 (2025)
- Hepatika Zidny Ilmadina, Muhammad Naufal, Dega Surono Wibowo, Drowsiness Detection Based on Yawning Using Modified Pre-trained Model MobileNetV2 and ResNet50 , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 3 (2023)
- Lalu Zazuli Azhar Mardedi, Fahry Fahry, Miftahul Madani, Hairani Hairani, Detection of Rice Diseases Using Leaf Images with Visual Geometric Group (VGG-19) Architecture and Different Optimizers , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 25 No. 1 (2025)
- Umar Aditiawarman, Alfian Dody, Teddy Mantoro, Haris Al Qodri Maarif, Anggy Pradiftha, Evading Antivirus Software Detection Using Python and PowerShell Obfuscation Framework , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 3 (2023)
- Kasiyanto Kasiyanto, Aripriharta Aripriharta, Dekki Widiatmoko, Dodo Irmanto, Muhammad Cahyo Bagaskoro, Hostage Liberation Operations using Wheeled Robots Based on LIDAR (Light Detection and Ranging) Sensors , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 2 (2024)
- Nenny Anggraini, Zulkifli Zulkifli, Nashrul Hakiem, Development of Smart Charity Box Monitoring Robot in Mosque with Internet of Things and Firebase using Raspberry Pi , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 1 (2024)
- Miftahus Sholihin, Mohd Farhan Bin Md. Fudzee, Lilik Anifah, A Novel CNN-Based Approach for Classification of Tomato Plant Diseases , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 3 (2025)
- Jelita Asian, Dimas Erlangga, Media Ayu, Data Exfiltration Anomaly Detection on Enterprise Networks using Deep Packet Inspection , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 3 (2023)
- Ni Gusti Ayu Dasriani, Sirojul Hadi, Moch Syahrir, Intelligent System for Internet of Things-Based Building Fire Safety with Naive Bayes Algorithm , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 1 (2023)
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Ahmat Adil, Bambang Krismono Triwijoyo, Sistem Informasi Geografis Pemetaan Jaringan Irigasi dan Embung di Lombok Tengah , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 20 No. 2 (2021)
- Bambang Krismono Triwijoyo, Ahmat Adil, Anthony Anggrawan, Convolutional Neural Network With Batch Normalization for Classification of Emotional Expressions Based on Facial Images , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Dadang Priyanto, Bambang Krismono Triwijoyo, Deny Jollyta, Hairani Hairani, Ni Gusti Ayu Dasriani, Data Mining Earthquake Prediction with Multivariate Adaptive Regression Splines and Peak Ground Acceleration , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 3 (2023)
- Anthony Anggrawan, Raisul Azhar, Bambang Krismono Triwijoyo, Mayadi Mayadi, Developing Application in Anticipating DDoS Attacks on Server Computer Machines , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 20 No. 2 (2021)
- Bambang Krismono Triwijoyo, Model Fast Tansfer Learning pada Jaringan Syaraf Tiruan Konvolusional untuk Klasifikasi Gender Berdasarkan Citra Wajah , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 18 No. 2 (2019)
- Bambang Krismono Triwijoyo, SEGMENTASI CITRA PEMBULUH DARAH RETINA MENGGUNAKAN METODE DETEKSI GARIS MULTI SKALA , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 15 No. 1 (2015)
.png)
