Then we used the training set of the MICCAI 2021 Foot Ulcer Segmentation Challenge dataset [2] (810 images) as the training set. The reported results in the following table are based on the validation ...

Experimented with five different CNN architectures (InceptionV3, ResNet50, DenseNet121, MobileNet, and VGG16) to classify images of Diabetic Foot Ulcers. These models were trained using transfer ...