MR image feature extraction using advanced statistical matrices
| Autor: | Pratima P. Gumaste, D. V. Jadhav |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Signal processing
medicine.diagnostic_test Computer science business.industry Multispectral image Feature extraction Magnetic resonance imaging Pattern recognition 02 engineering and technology Image segmentation Tumor tissue 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Histogram 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Computer vision Artificial intelligence Mr images business |
| Zdroj: | 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES). |
| DOI: | 10.1109/scopes.2016.7955759 |
| Popis: | Computerized automatic recognition of brain tumors in magnetic resonance images (MRI) is a challenging task. Tumors are available at different location, size, shape, and texture of these lesions. Due to intensity similarities between brain lesions and normal tissues, the challenges for the researcher remain for developing progressive more algorithms in the tumor detection. Selection of single spectral or multispectral images is dependent on constraints like time, cost and some other difficulties. The proposed approach can identify tumor tissues using a single-spectral structural MR image. This paper presents an automatic system, which is able to detect slices which include tumor and features are extracted from that slice to delineate the tumor area. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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