A study on Fourier Bessel series expansion and Hessian LLE for cervical cancer detection

Bhaswati Singha Deo; Shivam Shukla; Shikha Ahirwar; Amar Nath Sah; Subrata Mishra; Sweta Singh; Kirti Rekha Mahapatra; Ashok Kumar Padhi; Mayukha Pal; Prasanta K. Panigrahi; Asima Pradhan

doi:10.1117/12.3029826

17 April 2024 A study on Fourier Bessel series expansion and Hessian LLE for cervical cancer detection

Bhaswati Singha Deo, Shivam Shukla, Shikha Ahirwar, Amar Nath Sah, Subrata Mishra, Sweta Singh, Kirti Rekha Mahapatra, Ashok Kumar Padhi, Mayukha Pal, Prasanta K. Panigrahi, Asima Pradhan

Author Affiliations +

Proceedings Volume 13108, Women in Optics and Photonics in India 2023; 131080Q (2024) https://doi.org/10.1117/12.3029826
Event: Women in Optics and Photonics in India 2023, 2024, Chennai, India

Conference Poster

Abstract

Cervical cancer ranks as the fourth most prevalent cancer globally, emphasizing the critical need for early detection, which is vital for effective treatment. Traditional diagnostic methods have shown limitations in detecting the progression of the disease. Optical techniques, known for their high sensitivity and specificity, are emerging as reliable tools, especially in cancer-related applications. Among these techniques, fluorescence spectroscopy is one of the highly sensitive approaches for identifying biochemical changes that occur during the advancement of cancer. In our study, fluorescence spectral data was collected from human cervix from a diverse group of individuals using a portable smartphone-based fluorescence spectroscopy device. The spectral signals were processed by initially breaking them down into Fourier Bessel series (FBS) coefficients. Subsequently, the Hessian locally linear embedding (HLLE) based dimensionality reduction method was applied to the FBS coefficients, followed by the implementation of a 1D convolutional neural network classifier. The combination of polarized fluorescence spectra acquired from the device and the proposed classification approach has shown promising results, thus it is proven to be a minimally invasive method with the capability to provide real-time diagnoses for patients

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Bhaswati Singha Deo, Shivam Shukla, Shikha Ahirwar, Amar Nath Sah, Subrata Mishra, Sweta Singh, Kirti Rekha Mahapatra, Ashok Kumar Padhi, Mayukha Pal, Prasanta K. Panigrahi, and Asima Pradhan "A study on Fourier Bessel series expansion and Hessian LLE for cervical cancer detection", Proc. SPIE 13108, Women in Optics and Photonics in India 2023, 131080Q (17 April 2024); https://doi.org/10.1117/12.3029826

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