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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part IV /

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....

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Соавтор: SpringerLink (Online service)
Другие авторы: Greenspan, Hayit (Редактор), Madabhushi, Anant (Редактор), Mousavi, Parvin (Редактор), Salcudean, Septimiu (Редактор), Duncan, James (Редактор), Syeda-Mahmood, Tanveer (Редактор), Taylor, Russell (Редактор)
Формат: Электронный ресурс eКнига
Язык:английский
Опубликовано: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Редактирование:1st ed. 2023.
Серии:Lecture Notes in Computer Science, 14223
Предметы:
Image processing > Digital techniques.
Computer vision.
Application software.
Machine learning.
Education > Data processing.
Social sciences > Data processing.
Biomedical engineering.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer and Information Systems Applications.
Machine Learning.
Computers and Education.
Computer Application in Social and Behavioral Sciences.
Biomedical Engineering and Bioengineering.
Online-ссылка:https://doi.org/10.1007/978-3-031-43901-8
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Описание
Итог: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; clinical applications – 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.
Объем:1 online resource (XXXVIII, 801 p. 343 illus.). 243 illus. in color.
ISBN:9783031439018
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-43901-8

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