Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 [electronic resource] : 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part III /
Material type: TextSeries: Lecture Notes in Computer Science ; 13433Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XLI, 795 p. 236 illus., 226 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9783031164378
- Image processing
- Application software
- Machine learning
- Image processing -- Digital techniques
- Computer vision
- Information technology -- Management
- Computers
- Image Processing
- Computer and Information Systems Applications
- Machine Learning
- Computer Imaging, Vision, Pattern Recognition and Graphics
- Computer Application in Administrative Data Processing
- Computing Milieux
- 621.382 23
- TA1637-1638
Breast imaging -- colonoscopy -- computer aided diagnosis.
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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