Deep learning for damaged tissue detection and segmentation in Ki-67 brain tumor specimens based on the U-net model
The pathologists follow a systematic and partially manual process to obtain histological tissue sections from the biological tissue extracted from patients. This process is far from being perfect and can introduce some errors in the quality of the tissue sections (distortions, deformations, folds an...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Academy of Sciences
2018-12-01
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| Series: | Bulletin of the Polish Academy of Sciences: Technical Sciences |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/109874/PDF/10_849-856_00807_Bpast.No.66-6_31.12.18_K2.pdf |