Analysing the effects of Data Preprocessing in FTIR Images Clustering of Oral Squamous Cells Carcinoma (JM4A.27)
Presenter: Daniella Peres, Nuclear and Energy Research Institute, IPEN/CNEN & University of São Paulo USP
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.
Authors:Daniella Peres, Nuclear and Energy Research Institute, IPEN/CNEN & University of São Paulo USP / Gleice Germano, Nuclear and Energy Research Institute, IPEN/CNEN / Daniela Silva, Nuclear and Energy Research Institute, IPEN/CNEN / Luciano Bachmann, University of Sao Paulo at Ribeira o Preto, USP / Leandro L. de Matos, Cancer Institute of Sao Paulo, ICESP / Joaquim C. Felipe, University of Sao Paulo at Ribeira o Preto, USP / Thiago Pereira, 2Federal University of São Paulo, UNIFESP / Denise Zezell, Nuclear and Energy Research Institute, IPEN/CNEN & University of São Paulo USP