Items where Author is "Ghazanfar, Latif"

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Ghazanfar, Latif and Ghassen Ben, Brahim and Dayang Nurfatimah, Awang Iskandar and Abul, Bashar and Jaafar, Alghazo (2022) Glioma Tumors’ Classification Using Deep-Neural-Network-Based Features with SVM Classifier. Diagnostics, 12 (4). pp. 1-12. ISSN 2075-4418

Ghazanfar, Latif and Dayang Nurfatimah, Awang Iskandar and Alghazo, Jaafar M. and Nazeeruddin, Mohammad (2019) Enhanced MR Image Classification Using Hybrid Statistical and Wavelets Features. IEEE Access, 7. pp. 9634-9644. ISSN 2169-3536

Ghazanfar, Latif and Dayang Nur Fatimah, Binti Awg Iskandar and Jaafar, Alghazo and Arfan, Jaffar (2018) Improving Brain MR Image Classification for Tumor Segmentation using Phase Congruency. Current Medical Imaging Reviews, 14. pp. 1-10. ISSN 1875-6603

Ghazanfar, Latif and Awang Iskandar, D.N.F. and Jaafar, Alghazo (2018) Multiclass Brain Tumor Classification using Region Growing based Tumor Segmentation and Ensemble Wavelet Features. ICCBD '18 Proceedings of the 2018 International Conference on Computing and Big Data. pp. 67-72. ISSN ISBN: 978-1-4503-6540-6

Ghazanfar, Latif and Butt, M. Mohsin and Khan, Adil H. and Butt, Omair and Awang Iskandar, D.N.F. (2017) Multiclass brain Glioma tumor classification using block-based 3D Wavelet features of MR images. 4th International Conference on Electrical and Electronic Engineering (ICEEE), 2017. pp. 333-337. ISSN ISBN: 978-150906788-6


Adil H., Khan and Ghazanfar, Latif and Dayang Nurfatimah, Binti Awang Iskandar and Jaafar, Alghazo and Mohsin, Butt (2018) Segmentation of Melanoma Skin Lesions Using Anisotropic Diffusion and Adaptive Thresholding. In: Proceedings of the 2018 8th International Conference on Biomedical Engineering and Technology, 23-25 April 2018, Bali, Indonesia.


Ghazanfar, Latif (2021) Brain MRI Tumor Analysis and Classification using Deep Learning. PhD thesis, University of Malaysia Sarawak.

This list was generated on Wed Dec 7 10:29:34 2022 +08.