PERBAIKAN KONTRAS CITRA MAMMOGRAM PADA KLASIFIKASI KANKER PAYUDARA BERDASARKAN FITUR GRAY-LEVEL CO-OCCURRENCE MATRIX
نویسندگان
چکیده
منابع مشابه
Rock Texture Retrieval Using Gray Level Co-occurrence Matrix
Nowadays, as the computational power increases, the role of automatic visual inspection becomes more important. Therefore, also visual quality control has gained in popularity. This paper presents an application of gray level co-occurrence matrix (GLCM) to texturebased similarity evaluation of rock images. Retrieval results were evaluated for two databases, one consisting of the whole images an...
متن کاملMammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer
In this paper, we propose a mammogram classification scheme to classify the breast tissues as normal, benign or malignant. Feature matrix is generated using GLCM to all the detailed coefficients from 2D-DWT of the region of interest (ROI) of a mammogram. To derive the relevant features from the feature matrix, we take the help of t-test and F-test separately. The relevant features are used in a...
متن کاملIdentification of masses in digital mammogram using gray level co-occurrence matrices
Digital mammogram has become the most effective technique for early breast cancer detection modality. Digital mammogram takes an electronic image of the breast and stores it directly in a computer. The aim of this study is to develop an automated system for assisting the analysis of digital mammograms. Computer image processing techniques will be applied to enhance images and this is followed b...
متن کاملKlasifikasi Data Cardiotocography Dengan Integrasi Metode Neural Network Dan Particle Swarm Optimization
Backpropagation (BP) adalah sebuah metode yang digunakan dalam training Neural Network (NN) untuk menentukan parameter bobot yang sesuai. Proses penentuan parameter bobot dengan menggunakan metode backpropagation sangat dipengaruhi oleh pemilihan nilai learning rate (LR)-nya. Penggunaan nilai learning rate yang kurang optimal berdampak pada waktu komputasi yang lama atau akurasi klasifikasi yan...
متن کاملContent based mammogram retrieval using Gray Level Aura Matrix
Diagnosis of breast cancer in mammograms is also for specialists a difficult and error-prone task. A good opportunity to support radiologists in their decision is to find similar mammograms out of a database to compare the current case with past cases. In this work a complete content based image retrieval (CBIR) system for mass and calcification class mammograms has been implemented under usage...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SINTECH (Science and Information Technology) Journal
سال: 2020
ISSN: 2598-9642,2598-7305
DOI: 10.31598/sintechjournal.v3i1.528