1 option
Perinatal, Preterm and Paediatric Image Analysis : 7th International Workshop, PIPPI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings / edited by Roxane Licandro, Andrew Melbourne, Esra Abaci Turk, Christopher Macgowan, Jana Hutter.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science 1611-3349 ; 13575
- Lecture Notes in Computer Science, 1611-3349 ; 13575
- Language:
- English
- Subjects (All):
- Image processing-Digital techniques.
- Computer vision.
- Artificial intelligence.
- Application software.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Local Subjects:
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Physical Description:
- 1 online resource (XII, 116 pages) : 49 illustrations, 42 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the First International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2021. The 10 full papers and 1 short papers presented at PIPPI 2022 were carefully reviewed and selected from 12 submissions. PIPPI 2022 workshop complements the main MICCAI conference by providing a focused discussion of perinatal and paediatric image analysis, including the application of sophisticated analysis tools to fetal, neonatal and paediatric imaging data.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-17117-8
- 9783031171178
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.