Version 1.1

1. Include new pre-trained model and weight file.
2. Enrich program documentations.

First release

Enhancements & Modifications

1. The program was modified to support python 3.6 on Ubuntu 18.04 and Windows 10.
2. Support not only 3D computed tomography scan images but also 2D Microsoft Common Objects in COntext (MS COCO) dataset images.
3. Change the dice loss function type from Sørensen to Jaccard coefficient for comparing the similarity
4. Add Kfold parameter for users to customize the cross validation task. K = 1 will force model to perform overfit.
5. Add retrain parameter to enable users to reload pre-trained weights and retrain the model.
6. Add initial learning rate for users to adjust.
7. Add steps per epoch for users to adjust.
8. Add number of patience for early stop of training to users.
9. Add 'bce_dice' loss function as binary cross entropy + soft dice coefficient.
10. Revise 'train', 'test', 'manip' flags from 0 or 1 to flags show up or not to indicate the behavior of main program.
11. Add new webcam integration program for video stream segmentation