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Authors: Karol Kozak

Affiliation: Technical University Dresden, Germany

Keyword(s): Big data in medicine, Machine learning, Neurosurgery, Consilium, Radiology

Abstract: A brain tumor occurs when abnormal cells form within the brain. Medical imaging plays a central role in the diagnosis of brain tumors. When a brain tumor is diagnosed, a medical team will be formed (consilium) to assess the treatment options presented by the leading surgeon to the patient and his/her family. Using historical evidence-based healthcare data and information directly extracted from images to categorize them may support to increase decision for treatment of patient with brain tumor. Due to its complexity, cancer care is increasingly being dependent on multidisciplinary tumor consilium. That is why it is very important to avoid emotional and quick decisions done by members of consilium. Few studies have investigated how best to organize and run consilium in order to facilitates important decision about patient therapy. We developed and evaluated a multiparametric approach designed to improve the consilium ability to reach treatment decisions. In particular the use of discr iminative classification methods such as support vector machines and the use of local brain image meta-data were empirically shown to be important building blocks as support for therapy assign. For efficient classification we used fast SVM classifier with new kernel method. (More)

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Paper citation in several formats:
Kozak, K. and Kozak, K. (2015). Big data in Neurosurgery - Intelligent Support for Brain Tumor Consilium. In Proceedings of the Fourth International Conference on Telecommunications and Remote Sensing - ICTRS; ISBN 978-989-758-152-6, SciTePress, pages 69-75. DOI: 10.5220/0005889600690075

@conference{ictrs15,
author={Karol Kozak. and Karol Kozak.},
title={Big data in Neurosurgery - Intelligent Support for Brain Tumor Consilium},
booktitle={Proceedings of the Fourth International Conference on Telecommunications and Remote Sensing - ICTRS},
year={2015},
pages={69-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005889600690075},
isbn={978-989-758-152-6},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Telecommunications and Remote Sensing - ICTRS
TI - Big data in Neurosurgery - Intelligent Support for Brain Tumor Consilium
SN - 978-989-758-152-6
AU - Kozak, K.
AU - Kozak, K.
PY - 2015
SP - 69
EP - 75
DO - 10.5220/0005889600690075
PB - SciTePress

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