This study shows that a deep CNN can be used for diagnostic classification of cystoscopic images. Currently, deep learning is state of the art for image recognition and segmentation because of its ...

The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Training deep learning models without using GPUs can be the difference between waiting a few minutes to waiting hours. Automated Text Classification In order to build predictive models, we need ...

Conceived an international research group, the proposed model uses the convolutional neural network (CNN) architecture U-Net for image segmentation and the the CNN architecture InceptionV3-Net for ...