The "particle extraction" I believe works on connected densities from the segmentation. Your segmentation looks like it's pretty noisy for a method like that. If you want to go that route, you might want to low-pass filter your tomogram first?
Another alternative would be to use the "convnet based autoboxing" tool which is targeted at particle picking rather than annotation, and does a very nice job for most particles.
We also have "e2tomo_annotate.py" which is still under development, but is usable, and provides a complete GUI for multi-feature annotation/picking.
It looks like the version of EMAN2 you're using is _very_ out of date, since "convnet based autoboxing" doesn't even appear in the subtomogram averaging submenu in the GUI snapshot you sent. As long as you have a conda-based install, you can install a newer version extremely easily following this:
https://eman2.org/Install/CondaInstall
and if you don't want to mess with the existing install, you can just change the name of the environment it uses, and have both versions installed at once, eg:
conda create -n eman296 eman-dev -c cryoem -c conda-forge