UID:
almahu_9949567194102882
Format:
XXXVIII, 771 p. 328 illus., 218 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9783031438981
Series Statement:
Lecture Notes in Computer Science, 14222
Content:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031438974
Additional Edition:
Printed edition: ISBN 9783031438998
Language:
English
DOI:
10.1007/978-3-031-43898-1
URL:
https://doi.org/10.1007/978-3-031-43898-1
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