Collaborative quantization embeddings for intra-subject prostate MR image registration
Image registration is useful for quantifying morphological changes in longitudinal MR images from prostate cancer patients. This paper describes a development in improving the learning-based registration algorithms, for this challenging clinical application often with highly variable yet limited tra...
| Päätekijät: | , , , , , , , , , , , |
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| Aineistotyyppi: | Conference item |
| Kieli: | English |
| Julkaistu: |
Springer
2022
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