Generative Adversarial Networks to enhance decision support in digital pathology
Histopathological evaluation and Gleason grading on Hematoxylin and Eosin(H&E) stained specimens is the clinical standard in grading prostate cancer. Recently, deep learning models have been trained to assist pathologists in detecting prostate cancer. However, these predictions could be impr...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Statistik och maskininlärning
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158486 |