Hagnifinder: Recovering magnification information of digital histological images using deep learning
Background and objective: Training a robust cancer diagnostic or prognostic artificial intelligent model using histology images requires a large number of representative cases with labels or annotations, which are difficult to obtain. The histology snapshots available in published papers or case rep...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-01-01
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Series: | Journal of Pathology Informatics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2153353923001165 |