Wavelet leader based multifractal analysis of phase contrast images for cervical precancer detection
| Autor: | Asima Pradhan, Gyana Ranjan Sahoo, Shivam Shukla |
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| Rok vydání: | 2019 |
| Předmět: |
Discrete wavelet transform
business.industry Quantitative Biology::Tissues and Organs Phase contrast microscopy Physics::Medical Physics Phase-contrast imaging Wavelet transform Pattern recognition Multifractal system Cancer detection law.invention Wavelet law Artificial intelligence Singularity spectrum business Mathematics |
| Zdroj: | Advances in Microscopic Imaging II. |
| Popis: | Phase contrast images of stromal region of different stages of cervical pre-cancer were captured from tissue sections. A wavelet leader based multifractal analysis was performed on the phase contrast images to estimate multifractal spectrum for each image. Wavelet leaders were calculated through discrete wavelet transform using bi-orthogonal mother wavelets. The derived multifractal parameters, namely, width of singularity spectrum shows good discrimination between different grades of cervical pre-cancer. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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