Items where Greenwich Author is "Abdul Kareem, Razia Sulthana"
![]() | Up a level |
** Funder: Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia
Abdul Kareem, Razia Sulthana
ORCID: 0000-0001-5331-1310
, Chamola, Vinay, Hussain, Amir, Hussain, Zain and Albalwy, Faisal
ORCID: 0000-0002-2342-2156
(2023)
A novel end-to-end deep convolutional neural network based skin lesion classification framework.
Expert Systems with Applications, 246:123056.
pp. 1-19.
ISSN 0957-4174 (Print), 1873-6793 (Online)
(doi:https://doi.org/10.1016/j.eswa.2023.123056)
10.13039/501100001459-Ministry of Education, Singapore (Grant Number: A-0009040-00-00 and A-0009040-01-00)
Chamola, Vinay, Hassija, Vikas, Sulthana Abdul Kareem, Razia
ORCID: 0000-0001-5331-1310
, Ghosh, Debshishu, Dhingra, Divyansh and Sikdar, Biplab
(2023)
A review of trustworthy and eXplainable Artificial Intelligence (XAI).
IEEE Access, 11.
78994 -79015.
ISSN 2169-3536 (Online)
(doi:https://doi.org/10.1109/ACCESS.2023.3294569)
Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia (Project No. 445-9-512)
A., Razia Sulthana
ORCID: 0000-0001-5331-1310
, Chamola, Vinay, Hussain, Amir, Hussain, Zain and Albalwy, Faisal
(2023)
A novel end-to-end deep convolutional neural network based skin lesion classification framework.
Expert system with applications.
ISSN 0957-4174 (Print), 1873-6793 (Online)
(doi:https://doi.org/10.1016/j.eswa.2023.123056)
UK Engineering and Physical Sciences Research Council (EPSRC) - Grants Ref. EP/M026981/1, EP/T021063/1, EP/T024917/1
Abdul Kareem, Razia Sulthana
ORCID: 0000-0001-5331-1310
, Chamola, Vinay, Hussain, Amir, Hussain, Zain and Albalwy, Faisal
ORCID: 0000-0002-2342-2156
(2023)
A novel end-to-end deep convolutional neural network based skin lesion classification framework.
Expert Systems with Applications, 246:123056.
pp. 1-19.
ISSN 0957-4174 (Print), 1873-6793 (Online)
(doi:https://doi.org/10.1016/j.eswa.2023.123056)