Task¶

This challenge's specific goals are two-fold:

The first is to establish a benchmark for mediastinal lymph node identification and segmentation.

The second is to facilitate the development of automated and effective methods for whole-body lymph node quantification. This promises to save time and reduce the potential for inter- and intra-observer variability that manual assessments can introduce and, consequently, more accurate response assessments over longitudinal follow-ups, ultimately producing more valid clinical trial data.

If you're participating in our lymph node segmentation challenge, you may want to consider writing a MONAI app to make your work even more clinically usable. With a MONAI app, you can create a customized tool that is tailored to your specific needs, making it easier to incorporate your lymph node segmentation results into clinical workflows. By leveraging MONAI's powerful algorithms and models, you can develop an app that produces clinically relevant outputs, ensuring that your results are not only accurate but also directly applicable to patient care. Plus, MONAI's user-friendly interface and extensive documentation make it easy to get started, even if you're not a software development expert. With a MONAI app, you can take your lymph node segmentation to the next level and make a tangible impact on clinical practice.