TY - JOUR
T1 - Optimizing algorithm development for tissue classification in colorectal cancer based on diffuse reflectance spectra
AU - Baltussen, Elisabeth J.M.
AU - Sterenborg, Henricus J.C.M.
AU - Ruers, Theo J.M.
AU - Dashtbozorg, Behdad
PY - 2019/12/1
Y1 - 2019/12/1
N2 - Diffuse reflectance spectroscopy can be used in colorectal cancer surgery for tissue classification. The main challenge in the classification task is to separate healthy colorectal wall from tumor tissue. In this study, four normalization techniques, four feature extraction methods and five classifiers are applied to nine datasets, to obtain the optimal method to separate spectra measured on healthy colorectal wall from spectra measured on tumor tissue. All results are compared to the use of the entire non-normalized spectra. It is found that the most optimal classification approach is to apply a feature extraction method on non-normalized spectra combined with support vector machine or neural network classifier.
AB - Diffuse reflectance spectroscopy can be used in colorectal cancer surgery for tissue classification. The main challenge in the classification task is to separate healthy colorectal wall from tumor tissue. In this study, four normalization techniques, four feature extraction methods and five classifiers are applied to nine datasets, to obtain the optimal method to separate spectra measured on healthy colorectal wall from spectra measured on tumor tissue. All results are compared to the use of the entire non-normalized spectra. It is found that the most optimal classification approach is to apply a feature extraction method on non-normalized spectra combined with support vector machine or neural network classifier.
UR - http://www.scopus.com/inward/record.url?scp=85076106875&partnerID=8YFLogxK
U2 - 10.1364/BOE.10.006096
DO - 10.1364/BOE.10.006096
M3 - Article
AN - SCOPUS:85076106875
SN - 2156-7085
VL - 10
SP - 6096
EP - 6113
JO - Biomedical optics express
JF - Biomedical optics express
IS - 12
ER -
