多标签分类脑肿瘤质谱数据追求肿瘤边界检测方法

2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2017-11-01 DOI:10.1109/ICIIBMS.2017.8279736

A. Sorokin, E. Zhvansky, K. Bocharov, I. Popov, Dmitry Zubtsov, A. Vorobiev, E. Nikolaev, V. Shurkhay, A. Potapov

{"title":"多标签分类脑肿瘤质谱数据追求肿瘤边界检测方法","authors":"A. Sorokin, E. Zhvansky, K. Bocharov, I. Popov, Dmitry Zubtsov, A. Vorobiev, E. Nikolaev, V. Shurkhay, A. Potapov","doi":"10.1109/ICIIBMS.2017.8279736","DOIUrl":null,"url":null,"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.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Multi-label classification of brain tumor mass spectrometry data In pursuit of tumor boundary detection method\",\"authors\":\"A. Sorokin, E. Zhvansky, K. Bocharov, I. Popov, Dmitry Zubtsov, A. Vorobiev, E. Nikolaev, V. Shurkhay, A. Potapov\",\"doi\":\"10.1109/ICIIBMS.2017.8279736\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":122969,\"journal\":{\"name\":\"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIIBMS.2017.8279736\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIIBMS.2017.8279736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

质谱法作为术中肿瘤边界识别的一部分，是快速表征脑活检样本的有前途的工具。组织环境电离喷雾法是一种无需制备样品的新型软组织质谱分析仪器。在这篇文章中，我们分析了多标签分类技术在检测样本中的肿瘤和坏死碎片方面的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)

自引率

0.00%

发文量