Deep Learning Model for Cell Nuclei Segmentation and Lymphocyte Identification in Whole Slide Histology Images

Anti-cancer immunotherapy dramatically changes the clinical management of many types of tumours towards less harmful and more personalized treatment plans than conventional chemotherapy or radiation. Precise analysis of the spatial distribution of immune cells in the tumourous tissue is necessary to...

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Veröffentlicht in:	Informatica (Vilnius, Lithuania) Lithuania), 2021-01, Vol.32 (1), p.23-40
Hauptverfasser:	Budginaite, Elzbieta, Morkunas, Mindaugas, Laurinavicius, Arvydas, Treigys, Povilas
Format:	Artikel
Sprache:	eng
Schlagworte:	Cancer therapies Classification Computer Science Computer Science, Information Systems Deep learning Ground truth Histology Image segmentation Immune system Lymphocytes Machine learning Mathematical models Mathematics Mathematics, Applied Medical imaging Multilayer perceptrons Nuclei (cytology) Parameters Physical Sciences Science & Technology Spatial distribution Technology Tumors Workflow
Online-Zugang:	Volltext
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