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Evaluation of inter- and intra-operator reliability of manual segmentation of femoral metastatic lesions.

Ali AtaeiFlorieke EggermontMilan BaarsYvette M van der LindenJacky de RooyNico VerdonschotEsther Tanck
Published in: International journal of computer assisted radiology and surgery (2021)
Manual segmentation of femoral bone metastases is very challenging and resulted in unsatisfactory mean reliability values. There is a need for development of a segmentation protocol to reduce the inter- and intra-operator segmentation variation as the first step and use of computer-assisted segmentation tools as a second step as this study shows that manual segmentation of femoral metastatic lesions is highly challenging.
Keyphrases
  • deep learning
  • convolutional neural network
  • squamous cell carcinoma
  • small cell lung cancer
  • machine learning