Analysing the effects of Data Preprocessing in FTIR Images Clustering of Oral Squamous Cells Carcinoma

Daniella Lúmara Peres; Gleice Germano; Daniela F. T. Silva; Luciano Bachmann; Leandro L. de Matos; Joaquim C. Felipe; Thiago Martini Pereira; Denise Maria Zezell

doi:10.1364/FIO.2023.JM4A.27

Frontiers in Optics + Laser Science 2023 (FiO, LS)
Technical Digest Series (Optica Publishing Group, 2023),
paper JM4A.27
•https://doi.org/10.1364/FIO.2023.JM4A.27

Analysing the effects of Data Preprocessing in FTIR Images Clustering of Oral Squamous Cells Carcinoma

Daniella Lúmara Peres, Gleice Germano, Daniela F. T. Silva, Luciano Bachmann, Leandro L. de Matos, Joaquim C. Felipe, Thiago Martini Pereira, and Denise Maria Zezell

Frontiers in Optics 2023

Tacoma, Washington United States
9–12 October 2023
ISBN: 978-1-957171-29-6

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D. L. Peres, G. Germano, D. F. T. Silva, L. Bachmann, L. L. de Matos, J. C. Felipe, T. M. Pereira, and D. M. Zezell, "Analysing the effects of Data Preprocessing in FTIR Images Clustering of Oral Squamous Cells Carcinoma," in Frontiers in Optics + Laser Science 2023 (FiO, LS), Technical Digest Series (Optica Publishing Group, 2023), paper JM4A.27.

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Abstract

This work shows the importance of data preprocessing steps before applying the k-means clustering method in hyperspectral images of oral squamous cell carcinoma samples to differentiate healthy tissue from neoplastic tissue in the samples.

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