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__pycache__
__pycache__
 
 
data
data
 
 
features_selected_mi
features_selected_mi
 
 
features_selected_model
features_selected_model
 
 
monai
monai
 
 
radiomics
radiomics
 
 
.gitignore
.gitignore
 
 
Dataset019_AutoPET2024_res.json
Dataset019_AutoPET2024_res.json
 
 
Dataset019_AutoPET2024_results.json
Dataset019_AutoPET2024_results.json
 
 
Dataset020_AutoPET2024_Regions_results.json
Dataset020_AutoPET2024_Regions_results.json
 
 
Interactive-1.ipynb
Interactive-1.ipynb
 
 
Multitracer Lesion Segmentation in FDG-18 and PSMA Whole-Body PET-CT scans using augumented labelling approach- AutoPET III challenge.docx
Multitracer Lesion Segmentation in FDG-18 and PSMA Whole-Body PET-CT scans using augumented labelling approach- AutoPET III challenge.docx
 
 
Readme.md
Readme.md
 
 
Selected_cols.csv
Selected_cols.csv
 
 
Selected_cols_{organ_name}.csv
Selected_cols_{organ_name}.csv
 
 
caption_generation.py
caption_generation.py
 
 
cl_estimate.ipynb
cl_estimate.ipynb
 
 
classification_report.txt
classification_report.txt
 
 
combine_labels.py
combine_labels.py
 
 
create_dataset_json.py
create_dataset_json.py
 
 
create_nnUNet_folders.py
create_nnUNet_folders.py
 
 
data_analytics.py
data_analytics.py
 
 
data_analytics_2.py
data_analytics_2.py
 
 
data_setup.ipynb
data_setup.ipynb
 
 
dcai.ipynb
dcai.ipynb
 
 
healthy_radiomics.py
healthy_radiomics.py
 
 
healthy_radiomics_mutual_info.py
healthy_radiomics_mutual_info.py
 
 
healthy_tumor_patients_report.csv
healthy_tumor_patients_report.csv
 
 
healthy_tumor_patients_report_Test.csv
healthy_tumor_patients_report_Test.csv
 
 
pet_metrics_fdg.csv
pet_metrics_fdg.csv
 
 
pet_metrics_prostate.csv
pet_metrics_prostate.csv
 
 
pet_metrics_psma.csv
pet_metrics_psma.csv
 
 
qa_analysis.py
qa_analysis.py
 
 
qa_analysis_plots.ipynb
qa_analysis_plots.ipynb
 
 
totalsegmentator_labels_to_json.py
totalsegmentator_labels_to_json.py
 
 
ts_labels.json
ts_labels.json
 
 
tumor_no_tumor.ipynb
tumor_no_tumor.ipynb
 
 

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AutoPET 2024 Challenge

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