Small corrections

Author: Mathé Zeegers

README.md

@@ -8,7 +8,7 @@
 
 DeepFODDataGenerator is a Python package for easy generation of training data to apply deep learning for detection of (foreign) objects detection on X-ray projections. The generator follows a workflow of creating reconstructions from CT scans of training objects, and subsequently applying segmentation and virtual projections. The results are ground truth locations of the foreign objects on the X-ray projections from the CT scan, without having to manually annotate each of these.  
 
-This package provides scripts for applying this workflow for any X-ray object detection method, given that there are CT objects of training objects available. Additionally, the package provides scripts for complete reproduction of the experiments in the associated paper titled '[A tomographic workflow to enable deep learning for X-ray based foreign object detection](https://www.sciencedirect.com/science/article/pii/S0957417422010429)', in which the workflow is demonstrated and analyzed through a series of experiments with laboratory CT data and numerical data.  
+This package provides scripts for applying this workflow for any X-ray object detection method, given that there are CT objects of training objects available. Additionally, the package provides scripts for complete reproduction of results of the experiments in the associated paper titled '[A tomographic workflow to enable deep learning for X-ray based foreign object detection](https://www.sciencedirect.com/science/article/pii/S0957417422010429)', in which the workflow is demonstrated and analyzed through a series of experiments with laboratory CT data and numerical data.  
 
 
 ## Requirements