Advanced searches left 3/3

Developmental Biology - Springer Nature

Summarized by Plex Scholar
Last Updated: 18 June 2022

* If you want to update the article please login/register

Resolving complex cartilage structures in developmental biology via deep learning-based automatic segmentation of X-ray computed microtomography images

"The key challenges of this task stem from the sheer size of the image collection and a relatively small training database, which includes genetically modified mouse embryos, where the phenotype of the analysed structures differs from the norm. " With a median accuracy of 84. 4 percent, the segmentation system was able to segment the cartilaginous nasal capsule to a median of 84. 4 percent. From approximately 8 h required for manual segmentation to just 130 s per sample, the time required for segmentation of new samples shortened. "This will greatly accelerate the throughput of u03bcCT-based skeletal analysis of cartilaginous skeletal elements in animal models of developmental diseases. ".

Source link: https://doi.org/10.1038/s41598-022-12329-8

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions