The Quantitative Criteria Based on the Fractal Dimensions, Entropy and Lacunarity for the Spatial Distribution of Cancer Cell Nuclei Enable Identification of Low or High Aggressive Prostate Carcinomas
Background: Tumor grading, PSA concentration, and stage determine a risk of prostate cancer patients with accuracy of about 70%. An approach based on the fractal geometrical model was proposed to eliminate subjectivity from the evaluation of tumor aggressiveness and to improve the prediction. This s...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2016-02-01
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Series: | Frontiers in Physiology |
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Online Access: | http://journal.frontiersin.org/Journal/10.3389/fphys.2016.00034/full |