Classification of lung cancer with deep learning Res-U-Net and molecular imaging
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02635-7.pdf
Reference31 articles.
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3. Hu, Z., Chen, W.H., Tian, J., Cheng, Z.: NIRF nanoprobes for cancer molecular imaging: approaching clinic. Trends Mol. Med. 26(5), 469–482 (2020). https://doi.org/10.1016/j.molmed.2020.02.003
4. Grimm, J., Kiessling, F., Pichler, B.J.: Quo Vadis, molecular imaging? J. Nucl. Med. 61(10), 1428–1434 (2020)
5. García-Figueiras, R., Baleato-González, S., Luna, A., Muñoz-Iglesias, J., Oleaga, L., Vallejo Casas, J.A., Martín-Noguerol, T., Broncano, J., Areses, M.C., Vilanova, J.C.: Assessing immunotherapy with functional and molecular imaging and radiomics. Radiographics 40(7), 1987–2010 (2020)
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