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Nuclear Fractal Dimensions as a Tool for Prognostication of Oral Squamous Cell Carcinoma
Author(s) -
Shanmukha Raviteja Yinti,
Srikant Natarajan,
Karen Boaz,
Amitha J Lewis,
Pandya Jay Ashokkumar,
Supriya Nikita Kapila
Publication year - 2015
Publication title -
journal of clinical and diagnostic research
Language(s) - English
Resource type - Journals
eISSN - 2249-782X
pISSN - 0973-709X
DOI - 10.7860/jcdr/2015/12931.6837
Subject(s) - feulgen stain , fractal dimension , pathology , fractal analysis , haematoxylin , fractal , eosin , medicine , mathematics , staining , mathematical analysis
Carcinogenesis follows complex molecular alterations, which are triggered by subtle chromatin architectural changes that are imperceptible to the human eye. As the treatment decisions in Oral Squamous Cell Carcinoma (OSCC) are hindered by the imprecise clinical stage determination and inter-observer variability in histological grading, focus in recent years has shifted to discovering identifiers related to neoplastic cell morphology studied through computer-aided image analysis. One such approach is the assessment of fractal geometry, a technique first described by Mandelbrot, which aids in precise assessment of architecture of natural objects. Assessment and quantification of degree of complexity of these fractal objects (self-similarities in structural complexity at different magnifying scales) is described as fractal dimension (FD).

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