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Found 5 papers, 1 papers with code
Review on Classification Techniques used in Biophysiological Stress Monitoring
Cardiovascular activities are directly related to the response of a body in a stressed condition.
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network
Food resources face severe damages under extraordinary situations of catastrophes such as earthquakes, cyclones, and tsunamis.
Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks
In our work, the generator of the GAN is trained to generate a segmented mask of a given input CXR.
Pioneer dataset and automatic recognition of Urdu handwritten characters using a deep autoencoder and convolutional neural network
More specifically, we use a two-layer and a three-layer deep autoencoder network and convolutional neural network and evaluate the two frameworks in terms of recognition accuracy.
Generative Adversarial Network for Medical Images (MI-GAN)
The proposed model achieves a dice coefficient of 0. 837 on STARE dataset and 0. 832 on DRIVE dataset which is state-of-the-art performance on both the datasets.
