Head and Neck Tumor Segmentation for MR-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, Proceedings / [electronic resource] : / edited by Kareem A. Wahid, Cem Dede, Mohamed A. Naser, Clifton D. Fuller.. — 1st ed. 2025.. — XI, 276 p. 70 illus., 68 illus. in color. : online resource. — (Lecture Notes in Computer Science,) 15273 1611-3349 ;. - Lecture Notes in Computer Science, 15273 .

Open Access

Анотація:
This Open Access book constitutes the refereed proceedings of the First MICCAI Challenge, HNTSMRG 2024, Held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, on October 17, 2024. The 20 full papers and 1 overview paper included in this volume were carefully reviewed and selected from a total of 21 submissions. The HNTS-MRG 2024 Challenge focuses on advancing clinical workflows by leveraging artificial intelligence (AI) for automated segmentation of tumor regions in multi-timepoint MRI scans.

ISBN: 9783031832741

Standard No.: 10.1007/978-3-031-83274-1 doi

Subjects--Topical Terms:
Image processing--Digital techniques.
Computer vision.
Biomedical engineering.
Machine learning.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Biomedical Engineering and Bioengineering.
Machine Learning.

LC Class. No.: TA1501-1820 TA1634

Dewey Class. No.: 006