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Author Spotlight: Unlocking the Mysteries of Oral Potential Malignancies
Published on: August 11, 2023
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A Review on Image Processing and Fractal Analysis in Oral Potentially Malignant Disorders
André Goulart Poletto1, Flaviana Silva de Souza1, Lilian Bezerra1
1Department of Dentistry, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
Oral Diseases
|February 26, 2026
Summary
Fractal analysis of clinical photos aids in evaluating oral potentially malignant disorders. Image processing techniques like segmentation are crucial, but standardization is needed for accurate fractal dimension and lacunarity measurements.
Area of Science:
- Oral pathology
- Medical imaging
- Computational analysis
Background:
- Clinical evaluation of oral potentially malignant disorders relies on physical exams.
- Clinical photographs are vital for monitoring and detecting malignant transformation.
- Image processing and fractal analysis offer advanced tools for analyzing these images.
Purpose of the Study:
- To review image processing techniques for clinical photographs of oral potentially malignant disorders.
- To emphasize the application of fractal analysis in this field.
- To assess the utility of fractal dimension and lacunarity in lesion evaluation.
Main Methods:
- Systematic review of studies on fractal dimension and lacunarity.
- Inclusion of research on image segmentation and binarization.
- Analysis of texture parameters from clinical images.
Main Results:
- Ten studies utilized texture parameters for fractal dimension and lacunarity.
- Fractal dimension and texture parameters effectively evaluated lesions and differentiated tissues.
- Lacunarity analysis was less frequently employed than fractal dimension.
Conclusions:
- Fractal dimension and texture analysis show promise for oral lesion assessment.
- Methodological standardization is lacking, impacting reliability.
- Image processing, including segmentation and binarization, significantly influences results and requires careful execution.
