Details

Title

Deep learning for damaged tissue detection and segmentation in Ki-67 brain tumor specimens based on the U-net model

Journal title

Bulletin of the Polish Academy of Sciences: Technical Sciences

Yearbook

2018

Volume

66

Numer

No 6

Authors

Keywords

damaged tissue regions detection ; artifacts detection ; deep learning ; Ki-67 staining specimens

Divisions of PAS

Nauki Techniczne

Coverage

849-856

Publisher

Polish Academy of Sciences

Date

31.12.2018

Type

Artykuły / Articles

Identifier

ISSN 0239-7528, eISSN 2300-1917

DOI

10.24425/bpas.2018.125932

×