Medical image computing and computer assisted intervention -- MICCAI 2023 : 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Part VII / Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor, editors.
International Conference on Medical Image Computing and Computer-Assisted Intervention (26th : 2023 : Vancouver, B.C. ; Online); Greenspan, Hayit, editor.; Madabhushi, Anant, editor.; Mousavi, Parvin, editor.; Salcudean, Septimiu Edmund, editor.; Duncan, James, 1951- editor.; Syeda-Mahmood, Tanveer, editor.; Taylor, Russell, editor.
2023
RC78.7.D53 I58 2023eb
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Title Medical image computing and computer assisted intervention -- MICCAI 2023 : 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Part VII / Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor, editors.
Meeting Name International Conference on Medical Image Computing and Computer-Assisted Intervention (26th : 2023 : Vancouver, B.C. ; Online)
ISBN 9783031439902 (electronic bk.)
3031439902 (electronic bk.)
9783031439896 (print)
DOI https://doi.org/10.1007/978-3-031-43990-2
Published Cham, Switzerland : Springer, 2023.
Language English
Description 1 online resource (xl, 818 pages): illustrations (some color).
Other Standard Identifiers 10.1007/978-3-031-43990-2 doi
Call Number RC78.7.D53 I58 2023eb
Dewey Decimal Classification 616.07/54
Summary 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.
Note Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed October 3, 2023).
Added Author Greenspan, Hayit, editor.
Madabhushi, Anant, editor.
Mousavi, Parvin, editor.
Salcudean, Septimiu Edmund, editor.
Duncan, James, 1951- editor.
Syeda-Mahmood, Tanveer, editor.
Taylor, Russell, editor.
Series Lecture notes in computer science ; 14226. 1611-3349
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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.

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