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The present work analyzed the microscopic liver images to identify and to differentiate between healthy, cellular, fibrocellular, and fibrous liver pathologies by proposing a fast, robust, and highly discriminative method based on texture analysis. The multiclass classification based on the \u201cone\u2013<jats:italic>versus<\/jats:italic>\u2013 all\u201d method that built a voting rule approach to classify the liver images based on the liver state. Specifically, quantitative parameters, such as the anisotropy and laminarity are proposed based on the relative orientation of the pixel pairs in a global and local coherence of gradient vectors approach. Analysis of the tissue texture data using both gradient vector and gradient angle co\u2010occurrence matrix approaches facilitated more definitive identification of the abnormal tissue. The experimental results established that the local anisotropy based texture measures are appropriated for the microtexture analysis in order to discriminate between pathologies. Macrotexture description using the global features provided only integral anisotropy coefficient that has a confidence level similar to those provided by the local feature.<\/jats:p>","DOI":"10.1002\/jemt.22875","type":"journal-article","created":{"date-parts":[[2017,3,29]],"date-time":"2017-03-29T04:56:39Z","timestamp":1490763399000},"page":"862-869","source":"Crossref","is-referenced-by-count":21,"title":["Texture analysis of parasitological liver fibrosis images"],"prefix":"10.1002","volume":"80","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9121-5714","authenticated-orcid":false,"given":"Lumini\u0163a","family":"Moraru","sequence":"first","affiliation":[{"name":"Faculty of Sciences and Environment Dunarea de Jos University of Galati 47 Domneasca St 800008 Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simona","family":"Moldovanu","sequence":"additional","affiliation":[{"name":"Faculty of Control Systems, Computers Dunarea de Jos University of Galati  Romania"},{"name":"Dumitru Motoc High School 15 Milcov St Galati 800509 Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anisia\u2010Luiza","family":"Culea\u2010Florescu","sequence":"additional","affiliation":[{"name":"Faculty of Control Systems, Computers Dunarea de Jos University of Galati  Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dorin","family":"Bibicu","sequence":"additional","affiliation":[{"name":"Faculty of Economics and Business Administration Dunarea de Jos University of Galati  Romania"},{"name":"Dunarea High School 24 Oltului Street Galati 800444 Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amira S.","family":"Ashour","sequence":"additional","affiliation":[{"name":"Faculty of Engineering Tanta University  Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nilanjan","family":"Dey","sequence":"additional","affiliation":[{"name":"Techno India College of Technology  West Bengal 740000 India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2017,3,29]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.01.005"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.fct.2009.05.038"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/abbs\/gmq129"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-3024.2009.01157.x"},{"key":"e_1_2_7_6_1","first-page":"1","article-title":"Light microscopy image de\u2010noising using optimized LPA\u2010ICI filter","author":"Ashour A. 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