소장자료
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020 | ▼a9783030898472▼9978-3-030-89847-2▲ | ||
024 | 7 | ▼a10.1007/978-3-030-89847-2▼2doi▲ | |
050 | 4 | ▼aTA1501-1820▲ | |
050 | 4 | ▼aTA1634▲ | |
082 | 0 | 4 | ▼a006▼223▲ |
245 | 1 | 0 | ▼aMultimodal Learning for Clinical Decision Support▼h[electronic resource] :▼b11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings /▼cedited by Tanveer Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard Leahy, Bin Dong, Hongzhi Wang.▲ |
250 | ▼a1st ed. 2021.▲ | ||
264 | 1 | ▼aCham :▼bSpringer International Publishing :▼bImprint: Springer,▼c2021.▲ | |
300 | ▼aVIII, 117 p. 47 illus., 43 illus. in color.▼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 ;▼v13050▲ | |
505 | 0 | ▼aFrom Picoscale Pathology to Decascale Disease: Image Registration with a Scattering Transform and Varifolds for Manipulating Multiscale Data -- Multi-Scale Hybrid Transformer Networks: Application to Prostate Disease Classification -- Predicting Treatment Response in Prostate Cancer Patients Based on Multimodal PET/CT for Clinical Decision Support -- A Federated Multigraph Integration Approach for Connectional Brain Template Learning -- SAMA: Spatially-Aware Multimodal Network with Attention for Early Lung Cancer Diagnosis -- Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT -- Feature Selection for Privileged Modalities in Disease Classification -- Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images -- Structure and Feature based Graph U-Net for Early Alzheimer's Disease Prediction -- A Method for Predicting Alzheimer's Disease based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction.▲ | |
520 | ▼aThis book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic. The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.▲ | ||
650 | 0 | ▼aImage processing—Digital techniques.▲ | |
650 | 0 | ▼aComputer vision.▲ | |
650 | 0 | ▼aMachine learning.▲ | |
650 | 0 | ▼aDatabase management.▲ | |
650 | 0 | ▼aSocial sciences—Data processing.▲ | |
650 | 1 | 4 | ▼aComputer Imaging, Vision, Pattern Recognition and Graphics.▲ |
650 | 2 | 4 | ▼aMachine Learning.▲ |
650 | 2 | 4 | ▼aDatabase Management.▲ |
650 | 2 | 4 | ▼aComputer Application in Social and Behavioral Sciences.▲ |
700 | 1 | ▼aSyeda-Mahmood, Tanveer.▼eeditor.▼0(orcid)0000-0003-0059-3208▼1https://orcid.org/0000-0003-0059-3208▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aLi, Xiang.▼eeditor.▼0(orcid)0000-0002-9851-6376▼1https://orcid.org/0000-0002-9851-6376▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aMadabhushi, Anant.▼eeditor.▼0(orcid)0000-0002-5741-0399▼1https://orcid.org/0000-0002-5741-0399▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aGreenspan, Hayit.▼eeditor.▼0(orcid)0000-0001-6908-7552▼1https://orcid.org/0000-0001-6908-7552▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aLi, Quanzheng.▼eeditor.▼0(orcid)0000-0002-9651-5820▼1https://orcid.org/0000-0002-9651-5820▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aLeahy, Richard.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aDong, Bin.▼eeditor.▼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▲ | |
710 | 2 | ▼aSpringerLink (Online service)▲ | |
773 | 0 | ▼tSpringer Nature eBook▲ | |
776 | 0 | 8 | ▼iPrinted edition:▼z9783030898465▲ |
776 | 0 | 8 | ▼iPrinted edition:▼z9783030898489▲ |
830 | 0 | ▼aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;▼v13050▲ | |
856 | 4 | 0 | ▼uhttps://doi.org/10.1007/978-3-030-89847-2▲ |
Multimodal Learning for Clinical Decision Support[electronic resource] : 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
자료유형
국외eBook
서명/책임사항
Multimodal Learning for Clinical Decision Support [electronic resource] : 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings / edited by Tanveer Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard Leahy, Bin Dong, Hongzhi Wang.
개인저자
판사항
1st ed. 2021.
형태사항
VIII, 117 p. 47 illus., 43 illus. in color. online resource.
총서사항
내용주기
From Picoscale Pathology to Decascale Disease: Image Registration with a Scattering Transform and Varifolds for Manipulating Multiscale Data -- Multi-Scale Hybrid Transformer Networks: Application to Prostate Disease Classification -- Predicting Treatment Response in Prostate Cancer Patients Based on Multimodal PET/CT for Clinical Decision Support -- A Federated Multigraph Integration Approach for Connectional Brain Template Learning -- SAMA: Spatially-Aware Multimodal Network with Attention for Early Lung Cancer Diagnosis -- Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT -- Feature Selection for Privileged Modalities in Disease Classification -- Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images -- Structure and Feature based Graph U-Net for Early Alzheimer's Disease Prediction -- A Method for Predicting Alzheimer's Disease based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction.
요약주기
This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic. The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.
주제
ISBN
9783030898472
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