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: Information that helps the model classify the image or detect abnormalities.

: Deep features represent complex patterns like retinal layers or speckle noise that are difficult for humans to quantify manually. Oct06_02.jpg

: Using these features in a loss function often results in better evaluation metrics (like PSI or JNB) compared to standard L1 or L2 losses. 📂 File Convention : Information that helps the model classify the

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