most citedFederated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2022★ 2 cited

Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology

Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti +5

Early prostate cancer detection and staging from MRI are extremely challenging tasks for both radiologists and deep learning algorithms, but the potential to learn from large and d…