| |  Online-Ressource |
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| Verfasst von: | Valous, Nektarios A. [VerfasserIn]  |
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| | Rojas-Moraleda, Rodrigo [VerfasserIn] |
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| | Jäger, Dirk [VerfasserIn] |
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| | Zörnig, Inka [VerfasserIn] |
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| | Halama, Niels [VerfasserIn] |
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| Titel: | Interrogating the microenvironmental landscape of tumors with computational image analysis approaches |
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| Verf.angabe: | Nektarios A. Valous, Rodrigo Rojas Moraleda, Dirk Jäger, Inka Zörnig, Niels Halama |
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| E-Jahr: | 2020 |
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| Jahr: | 6 November 2020 |
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| Umfang: | 12 S. |
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| Teil: | volume:48 |
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| | year:2020 |
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| | pages:1-12 |
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| | extent:12 |
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| Fussnoten: | Gesehen am 01.02.2020 |
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| Titel Quelle: | Enthalten in: Seminars in immunology |
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| Ort Quelle: | London : Academic Press, 1993 |
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| Jahr Quelle: | 2020 |
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| Band/Heft Quelle: | 48(2020) Artikel-Nummer 101411, 12 Seiten |
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| ISSN Quelle: | 1096-3618 |
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| Abstract: | The tumor microenvironment is an interacting heterogeneous collection of cancer cells, resident as well as infiltrating host cells, secreted factors, and extracellular matrix proteins. With the growing importance of immunotherapies, it has become crucial to be able to characterize the composition and the functional orientation of the microenvironment. The development of novel computational image analysis methodologies may enable the robust quantification and localization of immune and related biomarker-expressing cells within the microenvironment. The aim of the review is to concisely highlight a selection of current and significant contributions pertinent to methodological advances coupled with biomedical or translational applications. A further aim is to concisely present computational advances that, to our knowledge, have currently very limited use for the assessment of the microenvironment but have the potential to enhance image analysis pipelines; on this basis, an example is shown for the detection and segmentation of cells of the microenvironment using a published pipeline and a public dataset. Finally, a general proposal is presented on the conceptual design of automation-optimized computational image analysis workflows in the biomedical and clinical domain. |
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| DOI: | doi:10.1016/j.smim.2020.101411 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext ; Verlag: https://doi.org/10.1016/j.smim.2020.101411 |
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| | Volltext: http://www.sciencedirect.com/science/article/pii/S1044532320300270 |
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| | DOI: https://doi.org/10.1016/j.smim.2020.101411 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Biomedical images |
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| | Computational advances |
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| | Computational biomedicine |
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| | Computational methods |
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| | Tumor-immune microenvironment |
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| K10plus-PPN: | 1746334096 |
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| Verknüpfungen: | → Zeitschrift |
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Interrogating the microenvironmental landscape of tumors with computational image analysis approaches / Valous, Nektarios A. [VerfasserIn]; 6 November 2020 (Online-Ressource)
