Artificial intelligence in female pelvic oncology: tailoring applications to clinical needs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-10455-z.pdf
Reference10 articles.
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3. Küstner T, Armanious K, Yang J, Yang B, Schick F, Gatidis S (2019) Retrospective correction of motion-affected MR images using deep learning frameworks. Magn Reson Med 82:1527–1540
4. Kurata Y, Nishio M, Moribata Y et al (2021) Automatic segmentation of uterine endometrial cancer on multi-sequence MRI using a convolutional neural network. Sci Rep 11:14440
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