Produktnummer:
18715b4889e6ec4588bc1e134041fb0170
Themengebiete: | animation artificial intelligence bioinformatics computer systems computer vision cross-computing tools and techniques decision support systems deep learning image analysis image manipulation |
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Veröffentlichungsdatum: | 16.09.2022 |
EAN: | 9783031164361 |
Sprache: | Englisch |
Seitenzahl: | 795 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Dou, Qi Fletcher, P. Thomas Li, Shuo Speidel, Stefanie Wang, Linwei |
Verlag: | Springer International Publishing |
Untertitel: | 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part III |
Produktinformationen "Medical Image Computing and Computer Assisted Intervention – MICCAI 2022"
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.

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