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Medical Image Computing and Computer Assisted Intervention MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 812, 2023, Proceedings, Part VI 1st ed. 2023 [Minkštas viršelis]

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  • Formatas: Paperback / softback, 814 pages, aukštis x plotis: 235x155 mm, weight: 1288 g, 252 Illustrations, color; 7 Illustrations, black and white; XXXIX, 814 p. 259 illus., 252 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 14225
  • Išleidimo metai: 02-Oct-2023
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031439864
  • ISBN-13: 9783031439865
Kitos knygos pagal šią temą:
Medical Image Computing and Computer Assisted Intervention MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 812, 2023, Proceedings, Part VI 1st ed. 2023Didesnis paveikslėlis
  • Formatas: Paperback / softback, 814 pages, aukštis x plotis: 235x155 mm, weight: 1288 g, 252 Illustrations, color; 7 Illustrations, black and white; XXXIX, 814 p. 259 illus., 252 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 14225
  • Išleidimo metai: 02-Oct-2023
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031439864
  • ISBN-13: 9783031439865
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783031439865.html
Raktažodžiai:
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023.





The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections:





Part I: Machine learning with limited supervision and machine learning transfer learning;





Part II: Machine learning learning strategies; machine learning explainability, bias, and uncertainty;





Part III: Machine learning explainability, bias and uncertainty; image segmentation;





Part IV: Image segmentation;





Part V: Computer-aided diagnosis;





Part VI: Computer-aided diagnosis; computational pathology;





Part VII: Clinical applications abdomen; clinicalapplications breast; clinical applications cardiac; clinical applications dermatology; clinical applications fetal imaging; clinical applications lung; clinical applications musculoskeletal; clinical applications oncology; clinical applications ophthalmology; clinical applications vascular;





Part VIII: Clinical applications neuroimaging; microscopy;





Part IX: Image-guided intervention, surgical planning, and data science;





Part X: Image reconstruction and image registration.
Computer-aided diagnosis.- computational pathology.