Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase

Jan 1, 2023·
Massimo Salvi
,
Claudia Manini
,
Jose I. López
,
Filippo Molinari
· 0 min read
Type
Publication
Comput. Medical Imaging Graph.
publications
Dario Fenoglio
Authors
PhD Student
Dario Fenoglio received his master’s degree in biomedical engineering from Politecnico di Torino in 2022. Since June 2023 he has joined the research group of Prof. Marc Langheinrich as a PhD student. His research focuses on the development of explainable machine-learning and deep-learning methods, combined with federated-learning techniques to ensure data privacy in healthcare.