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Update README.md

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@@ -284,10 +284,10 @@ The following illustration gives the resulting confusion matrix :
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  * Right : normalised acording to rows, rows sum at 100% and the **recall** is on the diagonal of the matrix
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- <div style="position: relative; text-align center;">
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- <p>Normalized Confusion Matrix (precision)</p>
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  <img src="FLAIR-INC_RVBIE_resnet34_unet_15cl_norm_cm-precision.png" alt="drawing" style="width: 70%; display: block; margin: 0 auto;"/>
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- <p>Normalized Confusion Matrix (recall)</p>
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  <img src="FLAIR-INC_RVBIE_resnet34_unet_15cl_norm_cm-recall.png" alt="drawing" style="width: 70%; display: block; margin: 0 auto;"/>
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  </div>
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  * Right : normalised acording to rows, rows sum at 100% and the **recall** is on the diagonal of the matrix
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+ <div style="position: relative; text-align: center;">
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+ <p style="margin: 0;">Normalized Confusion Matrix (precision)</p>
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  <img src="FLAIR-INC_RVBIE_resnet34_unet_15cl_norm_cm-precision.png" alt="drawing" style="width: 70%; display: block; margin: 0 auto;"/>
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+ <p style="margin: 0;">Normalized Confusion Matrix (recall)</p>
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  <img src="FLAIR-INC_RVBIE_resnet34_unet_15cl_norm_cm-recall.png" alt="drawing" style="width: 70%; display: block; margin: 0 auto;"/>
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  </div>
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