Conclusion The results of this study show the potential of deep learning for the diagnostic classification of cystoscopic images. Future work will focus on integration of artificial intelligence–aided ...

Through the above steps, we will realize an image classification system that fuses deep learning and machine learning models to improve classification accuracy and efficiency, and provide users ...

We propose a new sequential classification model for astronomical objects based on a recurrent convolutional neural network (RCNN) which uses sequences of images as inputs. This approach avoids the ...