Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-16961-8_14
Reference21 articles.
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3. Corredor, G., et al.: Spatial architecture and arrangement of tumor-infiltrating lymphocytes for predicting likelihood of recurrence in early-stage non-small cell lung cancer. Clin. Cancer Res. 25(5), 1526–1534 (2019)
4. Diamond, D.A., Berry, S.J., Umbricht, C., Jewett, H.J., Coffey, D.S.: Computerized image analysis of nuclear shape as a prognostic factor for prostatic cancer. Prostate 3(4), 321–332 (1982)
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