Open AccessMedical Imaging Mutifractal Analysis in Prediction of Efficiency of Cancer Therapy
Author(s) -
Jelena Vasiljević,
Nataša Živić,
Jelena Pribic,
Ksenija Kanjer,
Wojtek Jonakowski,
Jelena Sopta,
Dragica NikolićVukosavljević,
Marko Radulović
Publication year - 2016
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2016.60806
Subject(s) - cancer therapy , medical imaging , computer science , cancer , medical physics , artificial intelligence , medicine
Based on pressing need for predictive performance i\udmprovement, we explored the value of pre-\udtherapy tumour histology image analysis to predict \udchemotherapy response. It was shown that \udmultifractal analysis of breast tumour tissue prior\ud to chemotherapy indeed has the capacity to \uddistinguish between histological images of the diff\uderent chemotherapy responder groups with \udaccuracies of 91.4% for pPR, 82.9% for pCR and 82.\ud1% for PD/SD