Improve Research Reproducibility A Bio-protocol resource
- Home
- Protocols
-
Ask a
question
Favorite
The Jaccard index also called as Jaccard similarity coefficient is a quantitative analysis employed for evaluating the similarity and dissimilarity of sample sets. It extends the global Jaccard index that can determine the aggregated union and aggregated intersection cardinality in the region of interest (ROI). Mathematically it is represented as
Where is the ground truth shows prediction and represents connected components. Higher values of AJI indicate better performance of the model. The values estimated for MGD analysis represented in table 2.
Copyright and License information: ©2021 Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
Do you have any questions about this protocol?
Post your question to gather feedback from the community. We will also invite the authors of this article to respond.
Post a Question0 Q&A
