NEW: Add SCCNN Cell Detection Architecture

[shaneahmed]

• Add SCCNN architecture.

[codecov[bot]]

Codecov Report

Merging #434 (3ef7ab3) into develop (1ba4272) will increase coverage by 0.02%. The diff coverage is 100.00%.

@@             Coverage Diff             @@
##           develop     #434      +/-   ##
===========================================
+ Coverage    98.59%   98.62%   +0.02%     
===========================================
  Files           58       59       +1     
  Lines         5784     5872      +88     
  Branches      1047     1049       +2     
===========================================
+ Hits          5703     5791      +88     
  Misses          69       69              
  Partials        12       12              

Impacted Files	Coverage Δ
tiatoolbox/models/architecture/micronet.py	100.00% <ø> (ø)
tiatoolbox/models/architecture/sccnn.py	100.00% <100.00%> (ø)
tiatoolbox/models/architecture/unet.py	100.00% <100.00%> (ø)

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[shaneahmed]

@vqdang @mostafajahanifar @John-P this is ready for review. I have added model trained on CoNiC as well.

[shaneahmed]

Looks good. I like Dang's suggestion of moving the spatially constrained layer into its own class (easier to re-use), but otherwise good. Happy either way.

I had discussed this with Dang earlier. This meant retraining the model separately. So we decided not to do this.