Deep Neural Networks to Detect and Quantify Lymphoma Lesions: Materials and Methods - podcast episode cover

Deep Neural Networks to Detect and Quantify Lymphoma Lesions: Materials and Methods

Jun 13, 202413 min
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Episode description

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.

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