Refactoring

README.md

@@ -1,7 +1,7 @@
 # Automatic lung tumor segmentation in CT
 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.
 
-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 a result of a proof-of-concept study, and an improved model will be made available in the near future, when more training data is made available.
+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.
 
 ![sample of masked output](https://github.com/VemundFredriksen/LungTumorMask/releases/download/0.0.1/sample_images.png "Sample output of two different tumors")
 ![sample of 3d render](https://github.com/VemundFredriksen/LungTumorMask/releases/download/0.0.1/sample_renders.png "3D render of two masked outputs")
@@ -15,7 +15,7 @@ pip install git+https://github.com/VemundFredriksen/LungTumorMask
 ```
 
 ## Usage
-When the package is installed through pip, simply specify the input and output filenames.
+After install, the software can be used as a command line tool. Simply specify the input and output filenames to run:
 ```
 # Format
 lungtumormask input_file output_file