1 code implementation • 19 Sep 2023 • Amaya Gallagher-Syed, Luca Rossi, Felice Rivellese, Costantino Pitzalis, Myles Lewis, Michael Barnes, Gregory Slabaugh
Our approach is highly modular and can easily be modified to suit different clinical datasets, as it only requires a patient-level label without annotations and accepts WSI sets of different sizes, as the graphs can be of varying sizes and structures.
no code implementations • 13 Sep 2023 • Amaya Gallagher-Syed, Abbas Khan, Felice Rivellese, Costantino Pitzalis, Myles J. Lewis, Gregory Slabaugh, Michael R. Barnes
The model obtains a DICE score of 0. 865 and successfully segments different types of IHC staining, as well as dealing with variance in colours, intensity and common WSIs artefacts from the different clinical centres.