Texture Features of Grey Level Size Zone Matrix for Breast Cancer Detection
| Autor: | Rasha Awad Abtan, Anwar H. Al-Saleh, Haidar J. Mohamed, Heba Kh. Abbas, A. Alzuky |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Iraqi Journal of Science. :492-502 |
| ISSN: | 2312-1637 0067-2904 |
| Popis: | The texture analysis of cancer cells leads to a procedure to distinguish spatial differences within an image and extract essential information. This study used two test tumours images to determine cancer type, location, and geometric characteristics (area, size, dimensions, radius, etc.). The suggested algorithm was designed to detect and distinguish breast cancer using the segmentation-based threshold technique. The method of texture analysis Grey Level Size Zone method was used to extract 11 features: Small Zone Emphasis, Large Zone Emphasis, Low Grey Level Zone Emphasis, High Grey Level Zone Emphasis, Small Zone Low Grey Level Emphasis, Small Zone High Grey Level Emphasis, Large Zone Low Grey Level Emphasis, Large Zone High Grey Level Emphasis, Grey Level Non-Uniformity Normalized, Grey Level Non-Uniformity, and Zone Percentage. The results show that the tumuor's location is highly accurate depending on the extracting properties. The results of the suggested method give the decision to identify the type of tumours. The geometry of the tumour helps describe the tumour. |
| Databáze: | OpenAIRE |
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