• Genere: Libro
  • Lingua: Inglese
  • Editore: Springer
  • Pubblicazione: 09/2022
  • Edizione: 2022

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

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59,98 €
56,98 €
AGGIUNGI AL CARRELLO
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
Microscopic image analysis.- positron emission tomography.- ultrasound imaging.- video data analysis; image segmentation I.

ALTRE INFORMAZIONI
  • Condizione: Nuovo
  • ISBN: 9783031164392
  • Collana: Lecture Notes in Computer Science
  • Dimensioni: 235 x 155 mm
  • Formato: Brossura
  • Illustration Notes: XL, 751 p. 363 illus., 204 illus. in color.
  • Pagine Arabe: 751
  • Pagine Romane: xl