Accurate Kidney Segmentation in CT Scans Using Deep Transfer Learning-Reference-Cited by-同舟云学术

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Accurate Kidney Segmentation in CT Scans Using Deep Transfer Learning

Published:2020 Issue: Volume: Page:147-157
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Graham-Knight John Brandon,Scotland Kymora,Wong Victor KF.,Djavadifar Abtin,Lange Dirk,Chew Ben,Lasserre Patricia,Najjaran Homayoun

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-54407-2_13

Reference53 articles.

1. Alelign, T., Petros, B.: Kidney stone disease: an update on current concepts. Adv. Urol. 2018 (2018)

2. Lecture Notes in Computer Science;A Amir-Khalili,2013

3. Ardila, D., et al.: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography. Nat. Med. 25(6), 954–961 (2019). https://doi.org/10.1038/s41591-019-0447-x

4. Brisbane, W., Bailey, M.R., Sorensen, M.D.: An overview of kidney stone imaging techniques. Nat. Rev. Urol. 13(11), 654 (2016)

5. Chen, Z., et al.: Development of a personalized diagnostic model for kidney stone disease tailored to acute care by integrating large clinical, demographics and laboratory data: the diagnostic acute care algorithm-kidney stones (daca-ks). BMC Med. Inf. Decis. Mak. 18(1), 72 (2018). https://doi.org/10.1186/s12911-018-0652-4

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