no code implementations • 27 Nov 2020 • Uzair Khan, Paheding Sidike, Colin Elkin, Vijay Devabhaktuni
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.
no code implementations • 2 Nov 2020 • Nahian Siddique, Paheding Sidike, Colin Elkin, Vijay Devabhaktuni
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.
no code implementations • 3 Mar 2018 • Md Zahangir Alom, Tarek M. Taha, Christopher Yakopcic, Stefan Westberg, Paheding Sidike, Mst Shamima Nasrin, Brian C Van Esesn, Abdul A S. Awwal, Vijayan K. Asari
Furthermore, DL approaches have explored and evaluated in different application domains are also included in this survey.
no code implementations • 7 May 2017 • Md Zahangir Alom, Paheding Sidike, Tarek M. Taha, Vijayan K. Asari
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.