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@@ -40,7 +40,7 @@ if __name__ == "__main__":
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heartSegClinic(input_path, output_path)
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```
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Example of the auto-contouring algorithm output on a public [NSCLC-Radiomics](https://doi.org/10.7937/K9/TCIA.2015.PF0M9REI) CT case ([CT-image-only viewer link](https://viewer.imaging.datacommons.cancer.gov/v3/viewer/?StudyInstanceUIDs=1.3.6.1.4.1.32722.99.99.325293684872203513909374292566067254264&SeriesInstanceUIDs=1.3.6.1.4.1.32722.99.99.19336808942056470572520607494767608510))[2]:
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Example of heartSegClinic AI algoritm results on a public [NSCLC-Radiomics](https://doi.org/10.7937/K9/TCIA.2015.PF0M9REI) CT case ([CT-image-only viewer link](https://viewer.imaging.datacommons.cancer.gov/v3/viewer/?StudyInstanceUIDs=1.3.6.1.4.1.32722.99.99.325293684872203513909374292566067254264&SeriesInstanceUIDs=1.3.6.1.4.1.32722.99.99.19336808942056470572520607494767608510))[2]:
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*From left to right, AI results on the CT case mentioned above: a) axial view with heart chambers highlighted, b) 3d view of heart chambers, c) 3d view of heart coronaries*.
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