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Deep Learning-Based Image Analysis for the Quantification of Tumor-Induced Angiogenesis in the 3D In Vivo Tumor Model—Establishment and Addition to Laser Speckle Contrast Imaging (LSCI)

URN to cite this document:
urn:nbn:de:bvb:355-epub-527567
DOI to cite this document:
10.5283/epub.52756
Kuri, Paulina Mena ; Pion, Eric ; Mahl, Lina ; Kainz, Philipp ; Schwarz, Siegfried ; Brochhausen, Christoph ; Aung, Thiha ; Haerteis, Silke
[img]License: Creative Commons Attribution 4.0
PDF - Published Version
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Date of publication of this fulltext: 11 Aug 2022 10:03



Abstract

Background: Angiogenesis plays an important role in the growth and metastasis of tumors. We established the CAM assay application, an image analysis software of the IKOSA platform by KML Vision, for the quantification of blood vessels with the in ovo chorioallantoic membrane (CAM) model. We added this proprietary deep learning algorithm to the already established laser speckle contrast imaging ...

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