Longitudinal image registration with temporal-order and subject-specificity discrimination
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 b...
| Main Authors: | , , , , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2020
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