Advanced Image Processing Algorithms for Breast Cancer Decision Support and Information Management System

Authors: Karen López-Linares Román Andrik Rampun Bryan W. Scotney Philip J. Morrow Remi Salmon Marc Garbey Stefan Audersch Marina Azpíroz Juan A. Romero Vicente Belloch José M. Santabárbara Iván Macía Oliver

Date: 06.06.2019


Abstract

This paper reviews image analysis approaches developed within the DESIREE European project for the implementation of a decision support system (DSS) for breast cancer. These include robust algorithms for image segmentation, classification and imaging biomarker extraction, as well as a solution for the simulation of surgery outcomes, including a breast reconstruction module and a mechanical and healing model. These algorithms are integrated into the DSS to assist clinicians dealing with the heterogeneous information generated during the course of the disease.

BIB_text

@Article {
title = {Advanced Image Processing Algorithms for Breast Cancer Decision Support and Information Management System},
pages = {147-156},
keywds = {
Breast Cancer Segmentation Radiomics Modeling
}
abstract = {

This paper reviews image analysis approaches developed within the DESIREE European project for the implementation of a decision support system (DSS) for breast cancer. These include robust algorithms for image segmentation, classification and imaging biomarker extraction, as well as a solution for the simulation of surgery outcomes, including a breast reconstruction module and a mechanical and healing model. These algorithms are integrated into the DSS to assist clinicians dealing with the heterogeneous information generated during the course of the disease.


}
isbn = {978-981-13-8566-7},
date = {2019-06-06},
}
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