Federated learning for computational pathology on gigapixel whole slide images
Deep Learning-based computational pathology algorithms have demonstrated profound ability to excel in a wide array of tasks that range from characterization of well known morphological phenotypes to predicting non human-identifiable features from histology such as molecular alterations. However, the...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |