Araujo, A. S., Issa, M. H., Medeiros, P. R., Sánchez, Á., Muchaluat-Saade, D. C., & Conci, A. “Monitoring breast cancer neoadjuvant treatment using thermographic time series”. In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, June, pp. 247-252. IEEE.
Several studies explore the use of thermography for screening or diagnosis of breast cancer. However, few investigate this examination to follow up breast cancer neoadjuvant treatment. This work explores this theme and proposes a computational methodology for monitoring breast cancer treatment response by creating time series from dynamic thermography examinations. In this approach, we use the unsupervised learning algorithm k-means to cluster breast temperature information and indicate the area used for creating time series. From each time series, we compute two variation measures. Our results are promising and show that these time series measures can indicate the patient's tumor evolution.