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code for "Fusing deep and handcrafted features for intelligent recognition of uptake patterns on thyroid scintigraphy".

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TPRNet

code for "Fusing deep and handcrafted features for intelligent recognition of uptake patterns on thyroid scintigraphy".

Requirements

  • PyTorch 1.0+
  • Python 3.x

Running

train:

python train.py --config cfgs/tprnet.yaml --gpu 0 --net tprnet --model tpr_model

eval:

python eval.py --config cfgs/tprnet.yaml --gpu 0 --net tprnet --model tpr_model

Datasets

The data folder contains a portion of our dataset.

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code for "Fusing deep and handcrafted features for intelligent recognition of uptake patterns on thyroid scintigraphy".

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