JoVE is a leading peer-reviewed scientific methods video journal, aimed at increasing the visibility and reproducibility of research. The Impact Factor for JoVE (ISSN 1940-087X) is 1.2, and it is indexed in major databases, including PubMed, EMBASE, Scopus and Web of Science.
This Methods Collection would include articles on deep learning based segmentation techniques for 2D and 3D images with topic areas covering autonomous driving, robotic vision and navigation, augmented reality, biomedical image analysis, biometrics, video surveillance and remote sensing.
You can get more details about this collection or submit an abstract here: https://www.jove.com/methods-collections/1094
Best Regards,
Anuradha Kar
Researcher, École Normale Supérieure de Lyon, France