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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 / edited by Yiming Xiao, Guanyu Yang, Shuang Song.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Lecture Notes in Computer Science, 1611-3349 ; 13648
- Language:
- English
- Subjects (All):
- Image processing--Digital techniques.
- Image processing.
- Computer vision.
- Software engineering.
- Application software.
- Machine learning.
- Natural language processing (Computer science).
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Software Engineering.
- Computer and Information Systems Applications.
- Machine Learning.
- Natural Language Processing (NLP).
- Local Subjects:
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Software Engineering.
- Computer and Information Systems Applications.
- Machine Learning.
- Natural Language Processing (NLP).
- Physical Description:
- 1 online resource (94 pages)
- Edition:
- 1st ed. 2023.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
- Summary:
- 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).
- Notes:
- Includes bibliographical references and index.
- Other Format:
- Print version: Xiao, Yiming Lesion Segmentation in Surgical and Diagnostic Applications
- ISBN:
- 9783031273247
- 3031273249
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