Multi-label classification of brain tumor mass spectrometry data in pursuit of tumor boundary detection method

Anatoly Sorokin, Evgeny Zhvansky, Konstantin Bocharov, Igor Popov, Dmitry Zubtsov, Alexander Vorobiev, Eugene Nikolaev, Vsevolod Shurkhay, Alexander Potapov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The mass-spectrometry is the promising tool for the fast characterization of brain biopsy samples as a part of the intraoperative identification of tumor boundary. The spray-from-tissue ambient ionization method is a new instrument for mass-spectrometry analysis of soft tissues without sample preparation. In this contribution, we analyze the performance of multi-label classification techniques in detection of the tumor and necrosis fragments within the sample.

Original languageEnglish
Title of host publicationICIIBMS 2017 - 2nd International Conference on Intelligent Informatics and Biomedical Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages169-171
Number of pages3
ISBN (Electronic)9781509066643
DOIs
Publication statusPublished - 2 Feb 2018
Externally publishedYes
Event2nd International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2017 - Okinawa, Japan
Duration: 24 Nov 201726 Nov 2017

Publication series

NameICIIBMS 2017 - 2nd International Conference on Intelligent Informatics and Biomedical Sciences
Volume2018-January

Conference

Conference2nd International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2017
Country/TerritoryJapan
CityOkinawa
Period24/11/1726/11/17

Keywords

  • brain tumor
  • mass spectrometry
  • multi-label classification

Fingerprint

Dive into the research topics of 'Multi-label classification of brain tumor mass spectrometry data in pursuit of tumor boundary detection method'. Together they form a unique fingerprint.

Cite this