Deciphering the Morphology of Tumor-Stromal Features in Invasive Breast Cancer Using Artificial Intelligence

  • Nehal M. Atallah
  • , Noorul Wahab
  • , Michael S. Toss
  • , Shorouk Makhlouf
  • , Asmaa Y. Ibrahim
  • , Ayat G. Lashen
  • , Suzan Ghannam
  • , Nigel P. Mongan
  • , Mostafa Jahanifar
  • , Simon Graham
  • , Mohsin Bilal
  • , Abhir Bhalerao
  • , Shan E. Ahmed Raza
  • , David Snead
  • , Fayyaz Minhas
  • , Nasir Rajpoot
  • , Emad Rakha

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Fingerprint

Dive into the research topics of 'Deciphering the Morphology of Tumor-Stromal Features in Invasive Breast Cancer Using Artificial Intelligence'. Together they form a unique fingerprint.

Medicine and Dentistry

Neuroscience

Biochemistry, Genetics and Molecular Biology