173 citations
- Agència de Salut Pública de CatalunyaES1 paper
- Aichi Medical UniversityJP1 paper
- American College of RadiologyUS1 paper
- Barts Cancer InstituteGB1 paper
- Bostwick LaboratoriesUS1 paper
- Centre Hospitalier de MulhouseFR1 paper
- Centre Hospitalier Intercommunal Aix-PertuisFR1 paper
- Cleveland ClinicUS1 paper
- Cleveland Clinic Lerner College of MedicineUS1 paper
- Departament de SalutES1 paper
- Google DeepMind (United Kingdom)GB1 paper
- Hôpital TenonFR1 paper
3 papers
eess.IV2020★ 134 cited
Federated Learning for Breast Density Classification: A Real-World Implementation
Holger R. Roth, Ken Chang, Praveer Singh +40
Building robust deep learning-based models requires large quantities of diverse training data. In this study, we investigate the use of federated learning (FL) to build medical ima…
cs.SI2020★ 32 cited
Approximating Network Centrality Measures Using Node Embedding and Machine Learning
Matheus R. F. Mendonça, André M. S. Barreto, Artur Ziviani
Extracting information from real-world large networks is a key challenge nowadays. For instance, computing a node centrality may become unfeasible depending on the intended central…
eess.IV2020★ 173 cited
Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists
Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga +17
While the Gleason score is the most important prognostic marker for prostate cancer patients, it suffers from significant observer variability. Artificial Intelligence (AI) systems…