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wang linwei (curatore); dou qi (curatore); fletcher p. thomas (curatore); speidel stefanie (curatore); li shuo (curatore) - medical image computing and computer assisted intervention – miccai 2022

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VII

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 09/2022
Edizione: 1st ed. 2022





Trama

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.

 






Sommario

Image-Guided interventions and surgery.- outcome and disease prediction.- surgical data science; surgical planning and simulation.- machine learning – domain adaptation and generalization.










Altre Informazioni

ISBN:

9783031164484

Condizione: Nuovo
Collana: Lecture Notes in Computer Science
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:XLI, 779 p. 238 illus., 228 illus. in color.
Pagine Arabe: 779
Pagine Romane: xli


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