Search Results for author:
Found 4 papers, 0 papers with code
Trends in deep learning for medical hyperspectral image analysis
Deep learning algorithms have seen acute growth of interest in their applications throughout several fields of interest in the last decade, with medical hyperspectral imaging being a particularly promising domain.
U-Net and its variants for medical image segmentation: theory and applications
As the potential of U-net is still increasing, in this review we look at the various developments that have been made in the U-net architecture and provide observations on recent trends.
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Furthermore, DL approaches have explored and evaluated in different application domains are also included in this survey.
Handwritten Bangla Digit Recognition Using Deep Learning
To improve the performance of Handwritten Bangla Digit Recognition (HBDR), we herein present a new approach based on deep neural networks which have recently shown excellent performance in many pattern recognition and machine learning applications, but has not been throughly attempted for HBDR.
