Analisis performa algoritma naive bayes pada deteksi otomatis citra mri

The brain in humans becomes part of the central nervous system of the human body. The use of imaging with MRI is one that can be used as a first step to detect parts of the human brain. The imaging step is the first step in diagnosing brain tumor. By performing feature extraction, which aims to process the classification of brain tumors, between normal and abnormal brain images using the naive Bayes method. Obtained 41 images which then became 39 datasets. Feature extraction results with 2 classes, normal as many as 20 data and abnormal data 19. The calculation results obtained the value of the normal class of 0.513 and the abnormal class of 0.487 the value of the calculation accuracy of 84.17%.

[1]  Bakhtiar Alldino Ardi Sumbodo,et al.  Klasifikasi Sel Darah Putih Menggunakan Metode Support Vector Machine (SVM) Berbasis Pengolahan Citra Digital , 2017 .

[2]  Pratibha Sharma,et al.  Application of Edge Detection for Brain Tumor Detection , 2012 .

[3]  Fajar Agung Nugroho,et al.  Visualisasi dan Rekonstruksi 3D Citra Medis: Review , 2013 .

[4]  Resmi S. Ananda,et al.  Automatic segmentation framework for primary tumors from brain MRIs using morphological filtering techniques , 2012, 2012 5th International Conference on BioMedical Engineering and Informatics.

[5]  C. Senthil Singh,et al.  BRAIN TUMOR MRI IMAGE SEGMENTATION AND DETECTION IN IMAGE PROCESSING , 2014 .

[6]  Dwi H. Widyantoro,et al.  Inflammatory Cell Extraction and Nuclei Detection in Pap Smear Images , 2015, Int. J. E Health Medical Commun..

[7]  M. C. Jobin Christ,et al.  Segmentation of Medical Image using Clustering and Watershed Algorithms , 2011 .

[8]  S. S. Salankar,et al.  MRI brain cancer classification using Support Vector Machine , 2014, 2014 IEEE Students' Conference on Electrical, Electronics and Computer Science.

[9]  Dwiza Riana,et al.  Segmentasi Citra Tumor Otak Mengunakan Support Vector Machine Classifier , 2018 .

[10]  Suginam Suginam,et al.  SISTEM PAKAR UNTUK MENDIAGNOSIS PENYAKIT TUMOR OTAK MENGGUNAKAN METODE CERTAINTY FACTOR (CF) , 2017 .

[11]  Paridhi Singhal,et al.  Brain Tumor Segmentation using Genetic Algorithm , 2014 .

[12]  P. Vasuda.  Improved Fuzzy C-Means Algorithm for MR Brain Image Segmentation , 2010 .