The proposed correction method is evaluated by using six clinical datasets in presence of different artificial truncation. The results shows that a relative ...
the fact that the correlation coefficient is independent to the scaling and bias. Page 5. Scaling Calibration in the ATRACT Algorithm. 5 problem in the ...
Then, we propose an empirical correction measure that can be applied to the ATRACT algorithm, to effectively compensate the scaling and offset issue. The ...
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What is a calibration algorithm?
Scaling and Offset Artifact in ATRACT. In the ATRACT algorithm, we remove the singularities at the borders of lateral data truncation after Laplace filtering ...
Scaling Calibration in the ATRACT Algorithm. Xia Y, Maier A, Dennerlein F, Hornegger J (2013). Publication Type: Conference contribution, Conference ...
Scaling calibration in region of interest reconstruction with the 1D and 2D ATRACT algorithm. https://doi.org/10.1007/s11548-014-0978-z.
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A simple way to calibrate your neural network. The temperature_scaling.py module can be easily used to calibrated any trained model.
Missing: ATRACT | Show results with:ATRACT
In machine learning, Platt scaling or Platt calibration is a way of transforming the outputs of a classification model into a probability distribution over ...
Missing: ATRACT | Show results with:ATRACT
Oct 13, 2021 · A well-calibrated model can reasonably propagate information from observations to unobserved variables via model physics, but traditional ...
Missing: ATRACT | Show results with:ATRACT