Multimodal Learning for Clinical Decision Support : 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
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Titolo: |
Multimodal Learning for Clinical Decision Support : 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
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Edizione: | 1st ed. 2021. |
| Descrizione fisica: | 1 online resource (125 pages) |
| Disciplina: | 616.07540285 |
| Soggetto topico: | Image processing - Digital techniques |
| Computer vision | |
| Machine learning | |
| Database management | |
| Social sciences - Data processing | |
| Computer Imaging, Vision, Pattern Recognition and Graphics | |
| Machine Learning | |
| Database Management | |
| Computer Application in Social and Behavioral Sciences | |
| Persona (resp. second.): | Syeda-MahmoodTanveer |
| LiXiang | |
| MadabhushiAnant | |
| GreenspanHayit | |
| LiQuanzheng | |
| LeahyRichard | |
| DongBin | |
| WangHongzhi | |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Multimodal learning for clinical decision support |
| ISBN: | 3-030-89847-4 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910506376203321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Image Processing, Computer Vision, Pattern Recognition, and Graphics, . 3004-9954 ; ; 13050