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12/17/2021
Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology?
Deep learning (DL) has shown great potential in digital pathology applic...
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12/10/2021
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Unsupervised learning has made substantial progress over the last few ye...
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04/23/2021
Ensembles of GANs for synthetic training data generation
Insufficient training data is a major bottleneck for most deep learning ...
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03/16/2021
Unsupervised anomaly detection in digital pathology using GANs
Machine learning (ML) algorithms are optimized for the distribution repr...
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08/14/2020
Survey of XAI in digital pathology
Artificial intelligence (AI) has shown great promise for diagnostic imag...
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09/25/2019
A closer look at domain shift for deep learning in histopathology
Domain shift is a significant problem in histopathology. There can be la...
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10/13/2016