Classical speckle reduction benchmark on 780 breast ultrasound images (BUSI dataset).
Compared Non-Local Means, Median, and Gaussian filtering —
evaluated both globally and within lesion ROI using segmentation masks.
Key finding: global metrics can be misleading :) (why proper masking is important)
Median filter scores well globally (PSNR: 29.71 dB) but drops notably
within lesion boundaries (29.32 dB ROI) — clinically relevant edge blurring
that global evaluation misses.
NLM remains consistent across both evaluations — more reliable for diagnostic regions.
Next: DnCNN and U-Net comparison.
GitHub 👇
https://github.com/minebyte/us-speckle-reduction-benchmark
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