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020			_a9783030898472 _9978-3-030-89847-2
024	7		_a10.1007/978-3-030-89847-2 _2doi
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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, _x3004-9954 ; _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 _xDigital techniques.
650		0	_aComputer vision.
650		0	_aMachine learning.
650		0	_aDatabase management.
650		0	_aSocial sciences _xData 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. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLi, Xiang. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMadabhushi, Anant. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGreenspan, Hayit. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLi, Quanzheng. _eeditor. _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. _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, _x3004-9954 ; _v13050
856	4	0	_uhttps://doi.org/10.1007/978-3-030-89847-2
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