[IMP] Enhancing Series Selection Operation

Is your enhancement request related to a problem? Please describe.
For MONAI Deploy. noninformative and ever changing and often misleading series description, we need to have a better series selection mechanism in addition to regex based searches. This might include

1. Passing known dicom tags to the series selector
2. Ability to perform logical AND/OR operations on the series selection parameters.
3. In addition, it will be also awesome to confirm that appropriate series is selected through some image fingerprinting.

Image fingerprinting is a mechanism to identify the anatomical structure present in the image as well as the imaging modality used. Total Segmentator has an implementation which we can borrow. In that they extract characteristics of the image like

1. foreground to background ratio
2. mean intensity and standard deviation on the intensities
3. slice thickness
4. image size (rows X columns)
5. radiomics features.

We can come up with an operator where we can leverage this implementation to confirm/identify the appropriate images in the image series.

Additional context
I have done some work on series renaming. Need to add more functionality into it.

Start by reviewing the series-renaming work in the linked SeriesNaming project and the referenced TotalSegmentator statistics.py implementation. Clarify how known DICOM tags, logical selection operations, and image fingerprinting should fit the series selector. Done requires an agreed scope and working support for the selected enhancement criteria.