Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 : 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VIII / edited by Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Computer Science ; 13438 | Springer eBook CollectionPublisher: Cham : Springer Nature Switzerland, 2022Publisher: Cham : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(XXXIX, 740 p. 226 illus., 210 illus. in color.)ISBN:

9783031164521

Subject(s):

Image processing

Additional physical formats: 9783031164514 | 9783031164538 | Erscheint auch als: 9783031164514 Druck-Ausgabe | Erscheint auch als: 9783031164538 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-16452-1Online resources:

Summary: Machine learning – weakly-supervised learning -- machine learning – model interpretation -- machine learning – uncertainty -- machine learning theory and methodologies. .Summary: The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies. .PPN: PPN: 1816990442Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC | BSZ-2-SN-Auswahl

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