pet-ct

There are 0 repository under pet-ct topic.

• ENHANCE-PET / MOOSE

  MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.

  pet-ctorgan-segmentationnnunet3d-segmentationbone-segmentationtb-petbrain-segmentationfat-segmentationmuscle-segmentationpsoas-segmentationct-segmentationtotal-body-segmentation
  Language:Python 163

• CAAI / hnc-tumour-seg

  Clinical evaluation of deep learning for tumour delineation on [18F]FDG-PET/CT of head and neck cancer

  deep-learninghead-and-neck-cancerpet-cttumour-delineation
  Language:Jupyter Notebook 5

• amaljova / DicomDatabase

  This script reads DICOM files in a source directory or in a list of source directories and searches for the patients in the given patients' list creates a DICOM DataBase in the destination directory, copies the files, and creates a DicomDataBase.csv file and a summary.txt file.

  dicompydicomradiomicspyradiomicsmedicalimagingcomputedtomographyctscanmripet-ct
  Language:Python 2

• SimoneBendazzoli93 / PriorNet

  Cascade model ( Tumor appearance extraction + multi-channel nnUNet ) for AutoPET Challenge 2022

  challengemiccai2022pet-ct
  Language:Python 2

• UCL / terraform-azure-stir

  Deploying STIR on Azure via Terraform

  medical-imagingpet-ctpet-mrspectterraformazure
  Language:HCL 1

• RMeades / Machine-learning-for-non-small-cell-lung-cancer-nodal-staging-from-PETCT-molecular-imaging

  Machine learning for non small cell lung cancer nodal staging from PETCT molecular imaging

  classificationdata-sciencemachine-learningmachine-learning-algorithmsnumpypandaspythonscikit-learnlung-cancerlung-cancer-detectiononcologypet-ctmolecular-imaging
  Language:Jupyter Notebook 0

• RMeades / Machine-learning-for-predicting-PETCT-scanning-referrals

  A project with the aim of predicting future PETCT scanning referrals based on time-series analysis of past referrals.

  neuralprophetpet-ctpythontime-seriesdata-sciencemachine-learningnumpypandas
  Language:Jupyter Notebook 0

• Amirhosein2c / SegFreeOP

  Code repository for the paper entitled "Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images" published in "Cancers" journal.

  deep-learninghead-and-neck-cancermachine-learningoutcome-predictionpet-ctpythonsurvival-analysistransfer-learning
  Language:Python

• neural-tangjie / Python-MOOSE_PET-CT

  MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.

  fdgnn-unetpet-ctpythonsegementationai-medical
  Language:Python