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README.md
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# Automatic lung tumor segmentation in CT
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This is the official repository for the paper [_"Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation"_](https://arxiv.org/abs/2112.11541), submitted to PLOS ONE.
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A pretrained model is made available and can be used as you please. However, the current model is not intended for clinical use. The model is
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![sample of masked output](https://github.com/VemundFredriksen/LungTumorMask/releases/download/0.0.1/sample_images.png "Sample output of two different tumors")
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![sample of 3d render](https://github.com/VemundFredriksen/LungTumorMask/releases/download/0.0.1/sample_renders.png "3D render of two masked outputs")
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```
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## Usage
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```
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# Format
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lungtumormask input_file output_file
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# Automatic lung tumor segmentation in CT
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This is the official repository for the paper [_"Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation"_](https://arxiv.org/abs/2112.11541), submitted to PLOS ONE.
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A pretrained model is made available in a command line tool and can be used as you please. However, the current model is not intended for clinical use. The model is the result of a proof-of-concept study. An improved model will be made available in the future, when more training data is made available.
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![sample of masked output](https://github.com/VemundFredriksen/LungTumorMask/releases/download/0.0.1/sample_images.png "Sample output of two different tumors")
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![sample of 3d render](https://github.com/VemundFredriksen/LungTumorMask/releases/download/0.0.1/sample_renders.png "3D render of two masked outputs")
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```
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## Usage
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After install, the software can be used as a command line tool. Simply specify the input and output filenames to run:
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```
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# Format
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lungtumormask input_file output_file
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