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237 symbols 543 edges 25 files 17 documented · 7%

What it actually does AI analysis from the code graph — generated when you open this

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Core symbols most depended-on inside this repo

upsize

called by 10

models/two_d/unetpp.py

_block

called by 9

models/three_d/unet3d.py

ELUCons

called by 7

models/three_d/vnet3d.py

_make_layer

called by 4

models/two_d/deeplab.py

_make_layer

called by 4

models/two_d/pspnet.py

conv_norm_lrelu

called by 4

models/three_d/residual_unet3d.py

norm_lrelu_conv

called by 4

models/three_d/residual_unet3d.py

norm_lrelu_upscale_conv_norm_lrelu

called by 4

models/three_d/residual_unet3d.py

Shape

Method 152

Class 69

Function 16

Languages

Python100%

Modules by API surface

models/three_d/unetr.py34 symbols

models/two_d/pspnet.py21 symbols

models/three_d/vnet3d.py21 symbols

models/two_d/unet.py18 symbols

models/two_d/miniseg.py16 symbols

models/two_d/deeplab.py16 symbols

models/three_d/densevoxelnet3d.py14 symbols

loss_function.py13 symbols

models/two_d/unetpp.py11 symbols

models/three_d/densenet3d.py10 symbols

models/two_d/highresnet.py8 symbols

models/three_d/highresnet.py8 symbols

For agents

$ claude mcp add Pytorch-Medical-Segmentation \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact