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of 5
pro vyhledávání: '"Syed Saud Naqvi"'
Autor:
Hussain Ahmad Madni, Tariq M. Khan, Mohammad A. U. Khan, Haroon Ahmed Khan, Syed Saud Naqvi, Faizan Abdullah, Rakhshanda Imtiaz
Publikováno v:
IEEE Access, Vol 9, Pp 37311-37333 (2021)
Glaucoma is an incurable eye disease that leads to slow progressive degeneration of the retina. It cannot be fully cured, however, its progression can be controlled in case of early diagnosis. Unfortunately, due to the absence of clear symptoms durin
Autor:
Tariq M. Khan, Syed Junaid Nawaz, Musaed Alhussein, Khursheed Aurangzeb, Muhammad Arsalan, Syed Saud Naqvi
Publikováno v:
IEEE Access, Vol 8, Pp 131257-131272 (2020)
Devising automated procedures for accurate vessel segmentation (retinal) is crucial for timely prognosis of vision-threatening eye diseases. In this paper, a novel supervised deep learning-based approach is proposed which extends a variant of the ful
Autor:
Syed Saud Naqvi, Muhammad Arsalan, M. A. Khalil, Zaka Ur Rehman, Tariq M. Khan, Muhammad Aurangzeb Khan
Publikováno v:
Expert Systems with Applications. 120:461-473
Glaucoma along with diabetic retinopathy is a major cause of vision blindness and is projected to affect over 80 million people by 2020. Recently, expert systems have matched human performance in disease diagnosis and proven to be highly useful in as
Publikováno v:
Signal, Image and Video Processing. 13:1191-1198
Computer-aided optic disk (OD) detection and segmentation is at the heart of modern fundus image screening systems for early detection and diagnosis of glaucoma and diabetic retinopathy. Algorithms that generalize well on fundus images with diseases,
Autor:
Hussain Ahmad Madni, Khuram Naveed, Faizan Abdullah, Tariq M. Khan, Syed Saud Naqvi, Mohammad A. U. Khan
Publikováno v:
Diagnostics, Vol 11, Iss 114, p 114 (2021)
Diagnostics
Volume 11
Issue 1
Naveed, K, Abdullah, F, Madni, H A, Khan, M A U, Khan, T M & Naqvi, S S 2021, ' Towards automated eye diagnosis : An improved retinal vessel segmentation framework using ensemble block matching 3d filter ', Diagnostics, vol. 11, no. 1, 114 . https://doi.org/10.3390/diagnostics11010114
Diagnostics
Volume 11
Issue 1
Naveed, K, Abdullah, F, Madni, H A, Khan, M A U, Khan, T M & Naqvi, S S 2021, ' Towards automated eye diagnosis : An improved retinal vessel segmentation framework using ensemble block matching 3d filter ', Diagnostics, vol. 11, no. 1, 114 . https://doi.org/10.3390/diagnostics11010114
Automated detection of vision threatening eye disease based on high resolution retinal fundus images requires accurate segmentation of the blood vessels. In this regard, detection and segmentation of finer vessels, which are obscured by a considerabl