P. Herrmann

Workflow evaluation of a commercial deep learning-based image analysis tool for the quantification of angiogenesis in vivo

Angiogenesis plays a crucial role in tumor development as well as in wound healing and integration of biomaterials. However, quantification of complex vascular networks across different in vivo models is time-consuming, labor-intensive, and prone to human error. Deep learning-based analysis (DLBA) appears to be a more...