Szczegóły publikacji
Opis bibliograficzny
Color normalization-based nuclei detection in images of hematoxylin and eosin-stained multi organ tissues / Adam PIÓRKOWSKI // W: Image Processing and Communications : techniques, algorithms and applications : [IP&C 2019 : international conference : 11-13.09.2019, Bydgoszcz] / eds. Michał Choraś, Ryszard S. Choraś. — Cham : Springer Nature Switzerland AG, 2020. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 1062). — ISBN: 978-3-030-31253-4; e-ISBN: 978-3-030-31254-1. — S. 57–64. — Bibliogr., Abstr. — Publikacja dostępna online od: 2019-09-11
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 124969 |
|---|---|
| Data dodania do BaDAP | 2019-10-10 |
| DOI | 10.1007/978-3-030-31254-1_8 |
| Rok publikacji | 2020 |
| Typ publikacji | fragment monografii pokonferencyjnej |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Advances in Intelligent Systems and Computing |
Abstract
This article presents an adaptation of a color transfer method for binarization of cell nuclei in Hematoxylin- and Eosin-stained microscopy images. The aim is to check the ability and accuracy of nuclei detection for multi-organ cases using a public dataset. The results are obtained using the Monte Carlo method and then compared to the ground truth segmentations. Some cases are presented in detail and discussed. This method seems to be promising for the further development of classic and deterministic algorithms for H&E nuclei detection.
