Automated Diagnostic Toolkit for Dementia in Ageing Deaf Users of British Sign Language

Train and evaluate CNN deep learning model (ResNet50 / VGG16) based on transfer learning for early stage dementia screening in Keras

Methodology

To train and evaluate CNN deep learning model ResNet50 / VGG16 based on transfer learning

• Firstly please intall Keras deep learning model following the instructions of the link: https://github.com/fchollet/deep-learning-models.
• Then download the code to use transfer learning in keras with the example of training a 2 class classification model using VGG-16 and Resnet-50 pre-trained weights.

Results

• ROC Curve and Confusion Matrix

Citations

@inproceedings{liangECCV2020,
  author = {Xing Liang, Anastassia Angelopoulou, Epaminondas Kapetanios, Bencie Woll, Reda Al-batat and Tyron Woolfe},
  booktitle = {Sign Language Recognition, Translation & Production (SLRTP) Workshop, in conjunction with the ECCV 2020 Conference},
  title = {A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users},
  year = {2020}
}