Items where Author is "A., Razia Sulthana"
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classification
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)
convolution neural network
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)
deep learning
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)
image segmentation
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)
MobileNet
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)
skin lesion
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)