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ORCIDUzma Jamil
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2020 – today
- 2024
[j5]Iqra Ashraf Kiyani, Tehmina Shehryar, Samina Khalid, Uzma Jamil, Adeel Muzaffar Syed:
Deep learning based Glaucoma Network Classification (GNC) using retinal images. Int. J. Imaging Syst. Technol. 34(2) (2024)- 2022
- [j4]Ahmed Shahzad
, Bushra Zafar, Nouman Ali, Uzma Jamil, Abdulaziz Jarallah Alghadhban, Muhammad Assam, Nivin A. Ghamry, Elsayed Tag-Eldin:
COVID-19 Vaccines Related User's Response Categorization Using Machine Learning Techniques. Comput. 10(8): 141 (2022) - 2020
- [j3]M. Arfan Jaffar, M. Sultan Zia, Majid Hussain, Abdul Basit Siddiqui, Sheeraz Akram, Uzma Jamil:
An ensemble shape gradient features descriptor based nodule detection paradigm: a novel model to augment complex diagnostic decisions assistance. Multim. Tools Appl. 79(13-14): 8649-8675 (2020)
2010 – 2019
- 2018
- [j2]Mudassar Ahmad, Majid Hussain, Beenish Abbas, Omar Aldabbas, Uzma Jamil, Rehan Ashraf, Shahla Asadi:
End-to-End Loss Based TCP Congestion Control Mechanism as a Secured Communication Technology for Smart Healthcare Enterprises. IEEE Access 6: 11641-11656 (2018) - [j1]Uzma Jamil, Shehzad Khalid, M. Usman Akram, Awais Ahmad, Sohail Jabbar:
Melanocytic and nevus lesion detection from diseased dermoscopic images using fuzzy and wavelet techniques. Soft Comput. 22(5): 1577-1593 (2018) - [c2]M. Umair Shafiq, Uzma Jamil, Nafees Ayub:
Comparative Analysis of Pigment Network as a Feature for Melanoma Detection. INTAP 2018: 735-744 - 2016
- [c1]Uzma Jamil, Shehzad Khalid, M. Usman Akram:
Digital image preprocessing and hair artifact removal by using Gabor wavelet. ISOCC 2016: 215-216
Coauthor Index
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