Ensemble Supervised Classification Method Using the Regions of Interest and Grey Level Co-Occurrence Matrices Features for Mammograms Data
Author:
Publisher
Briefland
Subject
Radiology, Nuclear Medicine and imaging
Reference18 articles.
1. Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer
2. Application of wavelets and fractal-based methods for detection of microcalcification in mammograms: a comparative analysis using neural network
3. Feature selection using fuzzy entropy measures with similarity classifier
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1. A method for the classification of mammograms using a statistical-based feature extraction;International Journal of Biomedical Engineering and Technology;2022
2. Mammographic Classification Using Stacked Ensemble Learning with Bagging and Boosting Techniques;Journal of Medical and Biological Engineering;2020-10-08
3. Radiological images and machine learning: Trends, perspectives, and prospects;Computers in Biology and Medicine;2019-05
4. Classification of Masses in Digital Mammograms Using the Genetic Ensemble Method;Journal of Intelligent Systems;2018-07-26
5. Canonical Feature Extraction Methods for Structural Magnetic Resonance Imaging;Pathological Brain Detection;2018
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