An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm

• Published in: Sensors Vol. 20; p. 3903
• Main Authors: Chiranji Lal Chowdhary, Mohit Mittal, Prasanna Kumar Kumaresan, Priyadarshini Adyasha Pattanaik, Zbigniew Marszałek
• Format: Journal Article
• Language: Japanese
• Published: MDPI AG 13.07.2020
• Subjects: Algorithms; Artificial intelligence; Breast; breast cancer; Breast Neoplasms; Chemical technology; Classification of Brain Tumor Type and Grade; Cluster Analysis; Computer science; Computer Vision and Pattern Recognition; Data mining; Diagnostic Imaging; Dynamics of Urban Structure through Spatial Network Analysis; Face Recognition and Dimensionality Reduction Techniques; Feature Extraction; Feature Selection; Female; FOS: Mathematics; Fuzzy clustering; Fuzzy Logic; Geometry; Humans; Image Processing, Computer-Assisted; Image segmentation; Intuitionism; intuitionistic possibilistic fuzzy c-mean; Life Sciences; machine learning; Mammography; Mammography Image Analysis Society (MIAS) dataset; Mathematics; Medical Imaging; Neurology; Neuroscience; Pattern recognition (psychology); Physical Sciences; Segmentation; Social Sciences; Spectral Clustering; Support Vector Machine; TP1-1185; Urban Studies; virus
• ISSN: 1424-8220
• DOI: 10.3390/s20143903