This story was originally published on HackerNoon at:
https://hackernoon.com/deep-neural-networks-to-detect-and-quantify-lymphoma-lesions-materials-and-methods.
This study performs comprehensive evaluation of four neural network architectures for lymphoma lesion segmentation from PET/CT images.
Check more stories related to science at:
https://hackernoon.com/c/science.
You can also check exclusive content about
#positron-emission-tomography,
#computed-tomography,
#deep-learning,
#segmentation,
#detection,
#lesion-measures,
#intra-observer-variability,
#inter-observer-variability, and more.
This story was written by:
@reinforcement. Learn more about this writer by checking
@reinforcement's about page,
and for more stories, please visit
hackernoon.com.
This study performs comprehensive evaluation of four neural network architectures for lymphoma lesion segmentation from PET/CT images.