Lesion segmentation in surgical and diagnostic applications : MICCAI 2022 challenges, CuRIOUS 2022, KiPA 2022 and MELA 2022, held in conjunction with MICCAI 2022, Singapore, September 18-22, 2022, proceedings / / Yiming Xiao, Guanyu Yang, and Shuang Song, editors
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Titolo: |
Lesion segmentation in surgical and diagnostic applications : MICCAI 2022 challenges, CuRIOUS 2022, KiPA 2022 and MELA 2022, held in conjunction with MICCAI 2022, Singapore, September 18-22, 2022, proceedings / / Yiming Xiao, Guanyu Yang, and Shuang Song, editors
|
| Pubblicazione: | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] |
| ©2023 | |
| Edizione: | 1st ed. 2023. |
| Descrizione fisica: | 1 online resource (94 pages) |
| Disciplina: | 616.0754 |
| Soggetto topico: | Diagnostic imaging - Data processing |
| Persona (resp. second.): | XiaoYiming |
| YangGuanyu | |
| SongShuang | |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Sommario/riassunto: | This book constitutes three challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore in September 2022. The peer-reviewed 10 papers included in this volume stem from the following three challenges: Kidney Parsing Challenge 2022: Multi-Structure Segmentation for Renal Cancer Treatment (KiPA 2022) The 2022 Correction of Brain Shift with Intra-Operative Ultrasound-Segmentation Challenge (CuRIOUS-SEG 2022) The 2022 Mediastinal Lesion Analysis Challenge (MELA 2022). |
| Titolo autorizzato: | Lesion segmentation in surgical and diagnostic applications |
| ISBN: | 3-031-27324-9 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996517753903316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |
Serie:
Lecture Notes in Computer Science, . 1611-3349 ; ; 13648