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kidney-disease-prediction

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fitushar / multi-label-weakly-supervised-classification-of-body-ct

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A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multiple diseases for three different organ systems in body CT.

machine-learning kidney 3d ct weakly-supervised-learning 3d-segmentation rule-based-modeling 3d-resnet 3d-classification liver-disease multi-label-image-classification tensorflow2 ct-scan-images kidney-disease liver-disease-prediction kidney-disease-prediction multi-label-disease multi-label-disease-classification
  • Updated May 5, 2021
  • Python

SkinetTeam / Skinet-MEST-C

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SKINET Project is meant to perform a segmentation of a kidney's biopsy or a nephrectomy and recognize the different histological structures. By doing that, it is possible to analyze kidneys more precisely and get a better understanding of their behaviors. This is an updated version of the original Skinet Tool that provides indicators to compute …

segmentation mask-rcnn nephrology kidney-disease-prediction berger-disease mest-c-score
  • Updated Feb 20, 2023
  • Python

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