03159nam a22006375i 4500 978-3-031-58776-4 DE-He213 20251030112608.0 cr nn 008mamaa 240702s2024 sz | s |||| 0|eng d 9783031587764 978-3-031-58776-4 10.1007/978-3-031-58776-4 doi TA1501-1820 TA1634 UYT bicssc COM016000 bisacsh UYT thema Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT [electronic resource] : MICCAI Challenge, FLARE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / edited by Jun Ma, Bo Wang. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 364 p. 98 illus., 95 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Computer Science, 1611-3349 ; 14544 This book constitutes the proceedings of the MICCAI 2023 Challenge, FLARE 2023, held in Conjunction with MICCAI 2023, in Vancouver, BC, Canada, on October 8, 2023. The 27 full papers presented in this book were carefully reviewed and selected from 37 submissions. The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis. Image processing Digital techniques. 64228 Computer vision. Artificial intelligence. 58441 Computer networks . 60157 Application software. Education Data processing. Software engineering. 33953 Computer Imaging, Vision, Pattern Recognition and Graphics. 65550 Artificial Intelligence. 58441 Computer Communication Networks. 65689 Computer and Information Systems Applications. Computers and Education. Software Engineering. 33953 Ma, Jun. editor. (orcid)0000-0002-9739-0855 https://orcid.org/0000-0002-9739-0855 edt http://id.loc.gov/vocabulary/relators/edt 39135 Wang, Bo. editor. (orcid)0000-0002-9620-3413 https://orcid.org/0000-0002-9620-3413 edt http://id.loc.gov/vocabulary/relators/edt 79861 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031587757 Printed edition: 9783031587771 Lecture Notes in Computer Science, 1611-3349 ; 14544 https://doi.org/10.1007/978-3-031-58776-4 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 61257 61257