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BUG:Good thing for moose2 is much more category and bad thing for moose 2 is low performance.

Open YixinChen-AI opened this issue 7 months ago • 5 comments

I have followed your work for a while and Im a researcher in the similar filed. I just guess that if you use totalseg dataset to train the moose2 zoo. I just feel that the ribs and lung and some new categories suffer a low performance.

I am not sure if I send the wrong direction CT image. I seed the standard direction CT image as input (ct_itk.GetDirection()=(1,0,0,0,1,0,0,0,1) with 1.5 mm spacing). I use Moose2 to inference the low dose CT image, which is the data from 2016 low dose CT image challenge.

However, I just feel the performance is not as good as I expected since moose1 was trained in a supervised way.

In summary, I just want to mention that if you use the totalseg dataset to construct moose2, totalseg was a full dose CT dataset and there might be a domain gap.

Generally, MOOSE is a amazing tool. PS: i also has a question, if I want to compare with MOOSE in my research, should I compare with MOOSE1 or MOOSE2...

YixinChen-AI avatar Dec 11 '23 09:12 YixinChen-AI