Details Details PDF BIBTEX RIS 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 Issue No 6 (Special Section on Deep Learning: Theory and Practice) Authors Swiderska-Chadaj, Z. ; Markiewicz, T. ; Gallego, J. ; Bueno, G. ; Grala, B. ; Lorent, M. Keywords damaged tissue regions detection ; artifacts detection ; deep learning ; Ki-67 staining specimens Divisions of PAS Nauki Techniczne Coverage 849-856 Date 31.12.2018 Type Artykuły / Articles Identifier DOI: 10.24425/bpas.2018.125932 ; ISSN 2300-1917 Source Bulletin of the Polish Academy of Sciences: Technical Sciences; 2018; 66; No 6 (Special Section on Deep Learning: Theory and Practice); 849-856 <div class="test"></div>