loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.119.143.45

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic