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Statistical Analysis of Haralick Texture Features to Discriminate Lung Abnormalities
The Haralick texture features are a well-known mathematical method to detect the lung abnormalities and give the opportunity to the physician to localize the abnormality tissue type, either lung tumor or pulmonary edema. In this paper, statistical evaluation of the different features will represent...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi Publishing Corporation
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4617884/ https://www.ncbi.nlm.nih.gov/pubmed/26557845 http://dx.doi.org/10.1155/2015/267807 |