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It would be interesting to compare the localisation performance across different types of breast pathology to see whether there are sub-types of cancer for which experts are able to detect abnormalities based on gist without any location information (either because the type of abnormality has diffuse boundaries or because there is sufficient signal of abnormality in the overall image).
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GN uniformly underestimates the size of the sources, with a minimum volume of 43% of the true volume, and a maximum volume of 86%, but given the poor localisation performance the volumes given may be those of image artifacts.
The CA[high IQ] group performed significantly better than the DD group on the Spatial Misalignment task, however only spatial localisation performance on the middle gabor demonstrated a significant difference (see Table 5).
GN shows markedly inferior localisation performance to the other two algorithms at all noise levels and for both sources, with a maximum localisation error of 5.3mm.
In general, the choice of non-inhibitory antibodies represents a useful general precaution for antibodies specific to targets (e.g., matrix metalloproteinases), where endogenous inhibitors may compromise in vivo localisation performance of the antibody.
c P d =0.8 Fig. 5 Target localisation performance for scenario 2. The TALA RMSE (black circles), gTALA RMSE (white circles), and the CRLB RMSE (black triangles).
We compared localisation performance to chance, calculated across the 80 target-present images as 4.4%9595% CI = 3.02 5.75).
To this end, we looked at the images in detail to explore the degree and source of localisation errors on apparent detection-correct trials, as well as considering the potential influence of 'lucky' guesses to 'detection without localisation' performance.
The results support our claim of being able to enhance damage detectability and localisation performance by transforming and optimally selecting DSFs.
Fig. 4 Target localisation performance for scenario 1.
Both detection and localisation performance decreased with increased breast density at fast presentations.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com