Conference item
Longitudinal image registration with temporal-order and subject-specificity discrimination
- Abstract:
-
Morphological analysis of longitudinal MR images plays a key role in monitoring disease progression for prostate cancer patients, who are placed under an active surveillance program. In this paper, we describe a learning-based image registration algorithm to quantify changes on regions of interest between a pair of images from the same patient, acquired at two different time points. Combining intensity-based similarity and gland segmentation as weak supervision, the population-data-trained re...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Springer Publisher's website
- Series:
- Lecture Notes in Computer Science
- Journal:
- Proceedings of the Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 Journal website
- Volume:
- 12263
- Issue:
- 2020
- Pages:
- 243-252
- Publication date:
- 2020-09-29
- Acceptance date:
- 2020-06-23
- Event title:
- Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
- Event location:
- Lima, Peru
- Event website:
- https://www.miccai2020.org/en/default.asp
- Event start date:
- 2020-10-04
- Event end date:
- 2020-10-08
- DOI:
- EISSN:
-
1611-3349
- ISSN:
-
0302-9743
- EISBN:
- 978-3-030-59716-0
- ISBN:
- 9783030597153
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1139664
- Local pid:
- pubs:1139664
- Deposit date:
- 2021-01-19
Terms of use
- Copyright holder:
- Springer
- Copyright date:
- 2020
- Rights statement:
- © Springer Nature Switzerland AG 2020
- Notes:
- This paper was presented at the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention – (MICCAI 2020), Lima, Peru, 4th-8th October 2020. This is the accepted manuscript version of the article. The final version is available from Springer at: https://doi.org/10.1007/978-3-030-59716-0_24
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