Tests

Image analaysis

So far, we have not included unit testing in DeepACSA. However, in the DeepACAS_example that you can download here you will find an images_test folder. There, we have included three rectus femoris images as well as an Original_Results.xlsx file. Analyse these images using the RF muscle option, Line scaling option and an Imagedepth of 4.5. Tick the Calculate Volume checkbox to YES. Compare your results with the one in the Original_Results.xlsx. Should the results be identical, DeepACSA works fine. In theory, every pre-trained model should produce similar results. However, for the sake of accuracy, we used the VGG16-Unet for the test results.

Model training

In order to test wheter the model training option included in DeepACSA is functional, open the Train Model model by clicking the Advanced Analysis button and selecting Train model. Then select the image folder in the “DeepACSA_example/training_test” folder clicking the Images button and the mask folder in the “DeepACSA_example/training_test” folder clicking the Mask button. Subsequently, select the “DeepACSA_example/training_test” as output directory by clicking the Output button. Leave all training parameters as specified and click Start Training. Once the training process is completed you should have a results plot, a .h5 model file and a .xlsx weights file in the output directory. If this is the case, the training process worked!