Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer.
Frederik WesselsMax SchmittEva Krieghoff-HenningTanja JutziThomas S WorstFrank WaldbilligManuel NeubergerRoman C MaronMatthias SteegTimo GaiserAchim HeklerJochen S UtikalChristof von KalleStefan FröhlingMaurice S MichelPhilipp NuhnTitus Josef BrinkerPublished in: BJU international (2021)
In our present study, CNN-based image analyses showed promising results as a potential novel low-cost method to extract relevant prognostic information directly from H&E histology to predict the LN status of patients with prostate cancer. Our ubiquitously available technique might contribute to an improved LN status prediction.