About: Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI

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scholarly article by Sérgio Pereira et al published 2016 in Lecture Notes in Computer Science

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) article scientifique publié en 2016 (fr) наукова стаття, опублікована у 2016 (uk) scholarly article by Sérgio Pereira et al published 2016 in Lecture Notes in Computer Science (en)
publication date	wds:Q57773336-76E1DD42-B069-4D19-A8DA-6ECF8406FE97
publication date	2016-01-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q57773336-CF7C9EC3-98E7-433E-9F4E-AB4439FE5BA1
language of work or name	English
cites work	wds:Q57773336-0807AE31-B753-422B-847A-CFBDAE5CA2EB wds:Q57773336-2150FDB9-DFE8-4228-991D-A02A2DA6C30F wds:Q57773336-2458E367-D96F-4257-BCCE-FC74404BFD0D wds:Q57773336-26787B66-336B-4032-9420-35E1D0A12286 wds:Q57773336-2DADD383-E068-4B63-A064-26705A411D51 wds:Q57773336-454730D3-D05E-47BC-BCD8-9DC8C8014523 wds:Q57773336-5C8EA2AF-30A9-4410-B3CE-0F0B574C2EAC wds:Q57773336-609ED3AC-BD7B-4B61-80A0-0609F572F214 wds:Q57773336-67C423BA-420F-4EED-A6A5-010C6F358BE0 wds:Q57773336-69C5E4D1-EF78-43E6-9B86-AC88D91135CF wds:Q57773336-6B4656BB-F796-4344-938C-05C9B6A85586 wds:Q57773336-91036DA3-B179-4E81-AB6B-BC2C2404F993 wds:Q57773336-A0754790-1448-4C6D-9381-04B59219150C wds:Q57773336-A5929EF6-E62E-4EC5-B89E-212C132FA116 wds:Q57773336-AA12A704-1C3A-490B-9E49-5DA8ECE3C2DC wds:Q57773336-C385F1A2-C32C-4779-90F9-EBAB2981C0D3 wds:Q57773336-EC792201-D1C7-43A6-B018-1CCD2DE61B81 wds:Q57773336-EFFD181A-5D8A-4DE8-9242-2759053D8744
cites work	Measures of the Amount of Ecologic Association Between Species A brain tumor segmentation framework based on outlier detection*1 N4ITK: improved N3 bias correction Exciting new advances in neuro-oncology: the avenue to a cure for malignant glioma A survey of MRI-based medical image analysis for brain tumor studies GLISTR: glioma image segmentation and registration A Generative Model for Brain Tumor Segmentation in Multi-Modal Images Deep learning The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) The virtual skeleton database: an open access repository for biomedical research and collaboration New variants of a method of MRI scale standardization. Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MR Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization Combining Generative Models for Multifocal Glioma Segmentation and Registration Optimal Symmetric Multimodal Templates and Concatenated Random Forests for Supervised Brain Tumor Segmentation (Simplified) with ANTsR. Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features. Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain Tumor Segmentation
rdfs:label	Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI (en) Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI (nl)
skos:prefLabel	Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI (en) Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI (nl)
name	Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI (en) Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI (nl)
author	wds:Q57773336-1CECCA8A-FDAB-4B9A-90A9-3C7C289BC090 wds:Q57773336-532DCA37-B78B-4EE4-B5A0-1A33CB5C214D wds:Q57773336-8EB81AA8-AF42-4477-B967-1B39E45BB2AC wds:Q57773336-CF35358A-E5C9-4464-B124-58208AC51C71
author	Victor Alves Sérgio Pereira Carlos A. Silva Adriano Pinto
title	wds:Q57773336-AE6F2443-4614-45CA-84AA-5F9DD950B3E3
title	Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI (en)
page(s)	wds:Q57773336-3FB0ACCE-32C0-41BD-8B16-FC0C310BBA1F
page(s)	131-143
instance of	wds:Q57773336-3F8BDB15-58C7-48D4-8719-29D2F368143A
instance of	scholarly article
main subject	wds:Q57773336-0335629D-0241-4952-9D64-D53233C85544 wds:Q57773336-5DA9CE49-0FE7-4634-90C2-29DB639ABDC5
main subject	convolutional neural network deep learning
DBLP publication ID	wds:Q57773336-C3F908F1-69E8-4598-89C1-1F9B487C6A0A
DBLP publication ID	https://dblp.org/rec/conf/miccai/PereiraPAS15
DBLP publication ID	conf/miccai/PereiraPAS15
published in	wds:Q57773336-3A8292CE-129C-468D-989F-152EA7351B55
published in	Lecture Notes in Computer Science
DOI	wds:Q57773336-C2124454-5CBE-4D51-A790-D2C63A8F15BA
DOI	http://dx.doi.org/10.1007/978-3-319-30858-6_12
DOI	10.1007/978-3-319-30858-6_12
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57773336
is cites work of	Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma Application of Deep Learning in Automated Analysis of Molecular Images in Cancer: A Survey.
is cites work of	wds:Q58730832-9F38D173-B639-4AB9-81D9-02563F69E1F9 wds:Q45944076-D96CC949-B713-4D80-A72E-70F03651EC9D

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