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Documenting my journey through AI, medical imaging, and full-stack engineering — technical deep-dives, research notes, and lessons learned.
From first principles - what U-Net, 3D U-Net, and nnU-Net are - through to the ResEnc architecture: a residual encoder with a lightweight convolutional decoder, six stages, and [32, 64, 128, 256, 320, 320] features per stage. Full architecture breakdown, published evidence, nnU-Net integration, and code.
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