소장자료
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020 | ▼a9783030668433▼9978-3-030-66843-3▲ | ||
024 | 7 | ▼a10.1007/978-3-030-66843-3▼2doi▲ | |
050 | 4 | ▼aTA1630-1650▲ | |
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245 | 1 | 0 | ▼aMachine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology▼h[electronic resource] :▼bThird International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings /▼cedited by Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal Tax, Hongzhi Wang, Thomas Wolfers, Saima Rathore, Madhura Ingalhalikar.▲ |
250 | ▼a1st ed. 2020.▲ | ||
264 | 1 | ▼aCham :▼bSpringer International Publishing :▼bImprint: Springer,▼c2020.▲ | |
300 | ▼aXVIII, 305 p. 8 illus.▼bonline resource.▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼acomputer▼bc▼2rdamedia▲ | ||
338 | ▼aonline resource▼bcr▼2rdacarrier▲ | ||
347 | ▼atext file▼bPDF▼2rda▲ | ||
490 | 1 | ▼aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;▼v12449▲ | |
520 | ▼aThis book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.* For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging. For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience. *The workshops were held virtually due to the COVID-19 pandemic.▲ | ||
650 | 0 | ▼aOptical data processing.▲ | |
650 | 1 | 4 | ▼aImage Processing and Computer Vision.▼0https://scigraph.springernature.com/ontologies/product-market-codes/I22021▲ |
700 | 1 | ▼aKia, Seyed Mostafa.▼eeditor.▼0(orcid)0000-0002-7128-814X▼1https://orcid.org/0000-0002-7128-814X▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aMohy-ud-Din, Hassan.▼eeditor.▼0(orcid)0000-0002-5390-958X▼1https://orcid.org/0000-0002-5390-958X▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aAbdulkadir, Ahmed.▼eeditor.▼0(orcid)0000-0003-4679-8081▼1https://orcid.org/0000-0003-4679-8081▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aBass, Cher.▼eeditor.▼0(orcid)0000-0002-7928-3394▼1https://orcid.org/0000-0002-7928-3394▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aHabes, Mohamad.▼eeditor.▼0(orcid)0000-0001-9447-5805▼1https://orcid.org/0000-0001-9447-5805▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aRondina, Jane Maryam.▼eeditor.▼0(orcid)0000-0003-3548-014X▼1https://orcid.org/0000-0003-3548-014X▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aTax, Chantal.▼eeditor.▼0(orcid)0000-0002-7480-8817▼1https://orcid.org/0000-0002-7480-8817▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aWang, Hongzhi.▼eeditor.▼0(orcid)0000-0003-3608-8932▼1https://orcid.org/0000-0003-3608-8932▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aWolfers, Thomas.▼eeditor.▼0(orcid)0000-0002-7693-0621▼1https://orcid.org/0000-0002-7693-0621▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aRathore, Saima.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aIngalhalikar, Madhura.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
710 | 2 | ▼aSpringerLink (Online service)▲ | |
773 | 0 | ▼tSpringer Nature eBook▲ | |
776 | 0 | 8 | ▼iPrinted edition:▼z9783030668426▲ |
776 | 0 | 8 | ▼iPrinted edition:▼z9783030668440▲ |
830 | 0 | ▼aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;▼v12449▲ | |
856 | 4 | 0 | ▼uhttps://doi.org/10.1007/978-3-030-66843-3▲ |
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology : Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings
자료유형
국외eBook
서명/책임사항
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology [electronic resource] : Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings / edited by Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal Tax, Hongzhi Wang, Thomas Wolfers, Saima Rathore, Madhura Ingalhalikar.
개인저자
판사항
1st ed. 2020.
형태사항
XVIII, 305 p. 8 illus. online resource.
총서사항
요약주기
This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.* For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging. For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience. *The workshops were held virtually due to the COVID-19 pandemic.
ISBN
9783030668433
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