Development of Convolutional Neural Network for Defining a Renal Pathology Using Computed Tomography Images
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-19032-2_37
Reference17 articles.
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2. Zukotynski, K., Lewis, A., O’Regan, K., et al.: PET/CT and renal pathology: a blind spot for radiologists? Part 1, primary pathology. AJR Am. J. Roentgenol. 199(2), 163–167 (2012)
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4. Yoshida, K., et al.: Multiple unilateral subcapsular cortical hemorrhagic cystic disease of the kidney: CT and MRI findings and clinical characteristic. Eur. Radiol. 29(9), 4843–4850 (2019). https://doi.org/10.1007/s00330-019-06057-3
5. Ursprung, S., Beer, L., Bruining, A., et al.: Radiomics of computed tomography and magnetic resonance imaging in renal cell carcinoma—a systematic review and meta-analysis. Eur. Radiol. 30, 3558–3566 (2020)
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