@inproceedings{c13b19a8bb564c749322371579618dfe,
title = "Boosted tree classifier for in vivo identification of early cervical cancer using multispectral digital colposcopy",
abstract = "Background: Cervical cancer develops over several years; screening and early diagnosis have decreased the incidence and mortality threefold over the last fifty years. Opportunities for the application of imaging and automation in the screening process exist in settings where resources are limited. Methods: Patients with high-grade squamous intraepithelial lesions (SIL) underwent imaging with a Multispectral Digital Colposcopy (MDC) prior to have a loop excision of the cervix. The image taken with white light was annotated by a clinician. The excised specimen was mapped by the study histopathologist blinded to the MDC data. This map was used to define areas of high grade in the excised tissue. Eleven reviewers mapped the histopathologic data into the MDC images. The reviewers{\textquoteright} maps were analyzed and areas of agreement were calculated. We compared the result of a boosted tree classifier with a previously developed ensemble classifier. Results: Using a boosted tree classifier we obtained a sensitivity of 95%, a specificity of 96%, and an accuracy of 96% on the training sets. When we applied the classifier to a test set, we obtained a sensitivity of 82%, a specificity of 81%, and an accuracy of 81%. The boosted tree classifier performed better than the previously developed ensemble classifier. Conclusion: Here we presented promising results which show that a boosted tree analysis on MDC images is a method that could be used as an adjunct to colposcopy and would result in greater diagnostic accuracy compared to existing methods.",
keywords = "Boosted Tree Classifier, Cancer, Cervical, Image Processing, Machine Learning, Multispectral Digital Colposcopy",
author = "Nilgoon Zarei and Dennis Cox and Pierre Lane and Scott Cantor and Neely Atkinson and Yamal, {Jose Miguel} and Leonid Fradkin and Daniel Serachitopol and Sylvia Lam and Dirk Niekerk and Dianne Miller and Jessica McAlpine and Kayla Castaneda and Felipe Castaneda and Michele Follen and Calum MacAulay",
note = "Publisher Copyright: Copyright {\textcopyright} 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved; 4th International Conference on Bioimaging, BIOIMAGING 2017 - Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017 ; Conference date: 21-02-2017 Through 23-02-2017",
year = "2017",
doi = "10.5220/0006148900850091",
language = "English (US)",
series = "BIOIMAGING 2017 - 4th International Conference on Bioimaging, Proceedings; Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017",
publisher = "SciTePress",
pages = "85--91",
editor = "Margarida Silveira and Ana Fred and Hugo Gamboa and Mario Vaz",
booktitle = "BIOIMAGING 2017 - 4th International Conference on Bioimaging, Proceedings; Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017",
}