Paper
26 February 2014 Pre-cancer detection by wavelet transform and multi-fractality in various grades of DIC stromal images
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Abstract
The objective of the present work is to diagnose pre-cancer by wavelet transform and multi-fractal de-trended fluctuation analysis of DIC images of normal and different grades of cancer tissues. Our DIC imaging and fluctuation analysis methods (Discrete and continuous wavelet transform, MFDFA) confirm the ability to diagnose and detect the early stage of cancer in cervical tissue.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sabyasachi Mukhopadhyay, Nandan K. Das, Asima Pradhan, Nirmalya Ghosh, and Prasanta K. Panigrahi "Pre-cancer detection by wavelet transform and multi-fractality in various grades of DIC stromal images", Proc. SPIE 8942, Dynamics and Fluctuations in Biomedical Photonics XI, 89420H (26 February 2014); https://doi.org/10.1117/12.2040235
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Cited by 8 scholarly publications.
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KEYWORDS
Digital image correlation

Cancer

Tissues

Wavelets

Wavelet transforms

Continuous wavelet transforms

Discrete wavelet transforms

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