Prof. Tanzila Saba, IEEE Senior Member, ACM, AIS & AAAI Member
Prof. Tanzila Saba, IEEE Senior Member, ACM, AIS & AAAI Member
Full Professor, Prince Sultan University,Saudi Arabia
Verified email at - Homepage
Cited by
Cited by
Medical image segmentation methods, algorithms, and applications
A Norouzi, MSM Rahim, A Altameem, T Saba, AE Rad, A Rehman, ...
IETE Technical Review 31 (3), 199-213, 2014
Brain tumor detection using fusion of hand crafted and deep learning features
T Saba, AS Mohamed, M El-Affendi, J Amin, M Sharif
Cognitive Systems Research 59, 221-230, 2020
A deep learning approach for automated diagnosis and multi-class classification of Alzheimer’s disease stages using resting-state fMRI and residual neural networks
F Ramzan, MUG Khan, A Rehmat, S Iqbal, T Saba, A Rehman, ...
Journal of medical systems 44, 1-16, 2020
Classification of acute lymphoblastic leukemia using deep learning
A Rehman, N Abbas, T Saba, SIU Rahman, Z Mehmood, H Kolivand
Microscopy Research and Technique 81 (11), 1310-1317, 2018
Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture
A Rehman, MA Khan, T Saba, Z Mehmood, U Tariq, N Ayesha
Microscopy Research and Technique 84 (1), 133-149, 2021
Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges
T Saba
Journal of Infection and Public Health 13 (9), 1274-1289, 2020
Brain tumor segmentation in multi‐spectral MRI using convolutional neural networks (CNN)
S Iqbal, MU Ghani, T Saba, A Rehman
Microscopy research and technique 81 (4), 419-427, 2018
Region extraction and classification of skin cancer: A heterogeneous framework of deep CNN features fusion and reduction
T Saba, MA Khan, A Rehman, SL Marie-Sainte
Journal of medical systems 43 (9), 289, 2019
Brain tumor detection using statistical and machine learning method
J Amin, M Sharif, M Raza, T Saba, MA Anjum
Computer methods and programs in biomedicine 177, 69-79, 2019
Energy Efficient Multipath Routing Protocol for Mobile ad-hoc Network Using the Fitness Function
A Taha, R Alsaqour, M Uddin, M Abdelhaq, T Saba
IEEE Access 5, 10369 - 10381, 2017
CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features
MA Khan, T Akram, M Sharif, M Awais, K Javed, H Ali, T Saba
Computers and electronics in agriculture 155, 220-236, 2018
Brain tumor detection and classification: A framework of marker‐based watershed algorithm and multilevel priority features selection
MA Khan, IU Lali, A Rehman, M Ishaq, M Sharif, T Saba, S Zahoor, ...
Microscopy research and technique 82 (6), 909-922, 2019
Anomaly-based intrusion detection system for IoT networks through deep learning model
T Saba, A Rehman, T Sadad, H Kolivand, SA Bahaj
Computers and Electrical Engineering 99, 107810, 2022
Secure and energy-efficient framework using Internet of Medical Things for e-healthcare
T Saba, K Haseeb, I Ahmed, A Rehman
Journal of Infection and Public Health 13 (10), 1567-1575, 2020
An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach
M Nasir, M Attique Khan, M Sharif, IU Lali, T Saba, T Iqbal
Microscopy research and technique 81 (6), 528-543, 2018
Implications of E-learning systems and self-efficiency on students outcomes: a model approach
T Saba
Human-Centric Computing and Information Sciences 2, 1-11, 2012
A revisit of internet of things technologies for monitoring and control strategies in smart agriculture
A Rehman, T Saba, M Kashif, SM Fati, SA Bahaj, H Chaudhry
Agronomy 12 (1), 127, 2022
Brain tumor detection: a long short-term memory (LSTM)-based learning model
J Amin, M Sharif, M Raza, T Saba, R Sial, SA Shad
Neural Computing and Applications 32, 15965-15973, 2020
Multi-model deep neural network based features extraction and optimal selection approach for skin lesion classification
MA Khan, MY Javed, M Sharif, T Saba, A Rehman
2019 international conference on computer and information sciences (ICCIS), 1-7, 2019
Hand-crafted and deep convolutional neural network features fusion and selection strategy: an application to intelligent human action recognition
MA Khan, M Sharif, T Akram, M Raza, T Saba, A Rehman
Applied Soft Computing 87, 105986, 2020
The system can't perform the operation now. Try again later.
Articles 1–20