An application of algorithm based on abstract data types to the keratoconus diagnosis

Ramos, Valter; Lopes, Roberta Vilhena Vieira; Lyra, João Marcelo; Ribeiro, Guilherme; Ambrósio, Renato; Bezerra, Antônio Fernando de Souza; Coradine, Luis Cláudius

doi:10.1109/anthology.2013.6784907

IEEE Conference Anthology 2013

DOI: 10.1109/anthology.2013.6784907

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An application of algorithm based on abstract data types to the keratoconus diagnosis

Valter Ramos

Roberta Vilhena Vieira Lopes

João Marcelo Lyra

et al.

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2022

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Filtering of Corneal Images using Hybrid Wavelet Transform in the Cases of Keratoconus

Aswini¹,

Raghavan²

2022

JEI

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One of the most prevalent, bilateral, asymmetric, and progressive corneal diseases, keratoconus can have a slight to severe impact on vision. Early on, the condition is frequently misdiagnosed as irregular astigmatism, delaying diagnosis. Although we have cutting-edge diagnostic techniques, the results are insufficient to fully assess the corneal health at different areas, making it challenging to plan additional treatment programmes. Here, image pre-processing techniques using a Hybrid Wavelet Transform of Discrete Wavelet Transform (DWT) and Stationary Wavelet Transform (SWT), followed by soft and/or hard thresholding and Inverse Wavelet Transform, are proposed in order to achieve early and accurate diagnosis and assess the health of the cornea. The qualitative and quantitative metrics are reached by taking into account the several Electronic Corneal Topography picture modes, which would be useful to an ophthalmologist in moving on with therapy. This approach has been proven to have greater promise than the ones currently in use, particularly in relation to corneal diseases like keratoconus. Additionally, this approach aids in more accurate keratoconus stage determination.

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Filtering of Corneal Images using Hybrid Wavelet Transform in the Cases of Keratoconus

Aswini¹,

Raghavan²

2022

JEI

View full text Add to dashboard Cite

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An application of algorithm based on abstract data types to the keratoconus diagnosis

Cited by 1 publication

References 14 publications

Filtering of Corneal Images using Hybrid Wavelet Transform in the Cases of Keratoconus

Filtering of Corneal Images using Hybrid Wavelet Transform in the Cases of Keratoconus

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