2024
DOI: 10.1186/s12880-024-01332-2
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An automated in vitro wound healing microscopy image analysis approach utilizing U-net-based deep learning methodology

Dilan Doğru,
Gizem D. Özdemir,
Mehmet A. Özdemir
et al.

Abstract: Background The assessment of in vitro wound healing images is critical for determining the efficacy of the therapy-of-interest that may influence the wound healing process. Existing methods suffer significant limitations, such as user dependency, time-consuming nature, and lack of sensitivity, thus paving the way for automated analysis approaches. Methods Hereby, three structurally different variations of U-net architectures based on convolutional … Show more

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