Nature Communications (Apr 2020)

Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11.2 translocation renal cell carcinoma

  • Jun Cheng,
  • Zhi Han,
  • Rohit Mehra,
  • Wei Shao,
  • Michael Cheng,
  • Qianjin Feng,
  • Dong Ni,
  • Kun Huang,
  • Liang Cheng,
  • Jie Zhang

DOI
https://doi.org/10.1038/s41467-020-15671-5
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 9

Abstract

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Translocation renal cell carcinoma is an aggressive form of renal cancer that is often misdiagnosed to other subtypes. Here the authors demonstrated that by using machine learning and H&E stained whole-slide images, an accurate diagnose of this particular type of renal cancer can be achieved.