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Gray-Level Co-occurrence Matrix Analysis for the Detection of Discrete, Ethanol-Induced, Structural Changes in Cell Nuclei: An Artificial Intelligence Approach.
Davidovic, Lazar M; Cumic, Jelena; Dugalic, Stefan; Vicentic, Sreten; Sevarac, Zoran; Petroianu, Georg; Corridon, Peter; Pantic, Igor.
Affiliation
  • Davidovic LM; University of Belgrade, Studentski trg 1, RS-11000Belgrade, Serbia.
  • Cumic J; University of Belgrade, Faculty of Medicine, University Clinical Center of Serbia, Dr. Koste Todorovica 8, RS-11129 Belgrade, Serbia.
  • Dugalic S; University of Belgrade, Faculty of Medicine, University Clinical Center of Serbia, Dr. Koste Todorovica 8, RS-11129 Belgrade, Serbia.
  • Vicentic S; University of Belgrade, Faculty of Medicine, University Clinical Center of Serbia, Clinic of Psychiatry, Pasterova 2, RS-11000 Belgrade, Serbia.
  • Sevarac Z; University of Belgrade, Faculty of Organizational Sciences, Jove Ilica 154, RS-11000 Belgrade, Serbia.
  • Petroianu G; Department of Pharmacology & Therapeutics, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, UAE.
  • Corridon P; Department of Immunology and Physiology, College of Medicine and Health Sciences; Biomedical Engineering, Healthcare Engineering Innovation Center; Center for Biotechnology; Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, UAE.
  • Pantic I; University of Belgrade, Faculty of Medicine, Department of Medical Physiology, Laboratory for Cellular Physiology, Visegradska 26/II, RS-11129 Belgrade, Serbia.
Microsc Microanal ; 28(1): 265-271, 2022 02.
Article in En | MEDLINE | ID: mdl-34937605
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Ethanol Type of study: Diagnostic_studies Language: En Journal: Microsc Microanal Year: 2022 Document type: Article Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Ethanol Type of study: Diagnostic_studies Language: En Journal: Microsc Microanal Year: 2022 Document type: Article Country of publication: United kingdom