Medical Image Categorization Based on Wavelet Transform and Self-Organizing Map
Autor: | E. Del Moral Hernandez, Ramon Alfredo Moreno, L. da Silva, Sergio Shiguemi Furuie |
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Rok vydání: | 2007 |
Předmět: |
Self-organizing map
Discrete wavelet transform Modern medicine business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Vector quantization Wavelet transform Pattern recognition Content-based image retrieval Categorization Artificial intelligence business Image retrieval Mathematics |
Zdroj: | ISDA |
Popis: | Nowadays, images are fundamental data source in modern medicine. The images stored in a database according with categories are an important step for data mining and content-based image retrieval (CBIR). These can support doctors and students in diagnostic decisions and provide research and didactic material. This work addresses the use of discrete wavelet transform and self-organizing map (SOM) to medical image categorization. Furthermore, extensive experiments to define map size, finetune using linear vector quantization and a contrastive study with another success approach of categorization are realized. |
Databáze: | OpenAIRE |
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