Zobrazeno 1 - 5
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:
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
Publikováno v:
IJCNN
Accurate automatic segmentation of the retinal vessels is crucial for early detection and diagnosis of vision-threatening retinal diseases. This paper presents a lightweight convolutional neural network termed as Shallow Vessel Segmentation Network (
Autor:
Syed Saud Naqvi, Naveed ur Rehman, Khuram Naveed, Syed Junaid Nawaz, Ahsan Khawaja, Tariq M. Khan
Publikováno v:
Khawaja, A, Khan, T M, Naveed, K, Naqvi, S S, Rehman, N U & Nawaz, S J 2019, ' An Improved Retinal Vessel Segmentation Framework Using Frangi Filter Coupled With the Probabilistic Patch Based Denoiser ', IEEE Access, bind 7, s. 164344-164361 . https://doi.org/10.1109/access.2019.2953259
IEEE Access, Vol 7, Pp 164344-164361 (2019)
IEEE Access, Vol 7, Pp 164344-164361 (2019)
Vessel segmentation has come a long way in terms of matching the experts at detection accuracy, yet there is potential for further improvement. In this regard, the accurate detection of vessels is generally more challenging due to the high variations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::842f37b011934d72292593b5c25ae170
https://pure.au.dk/portal/da/publications/an-improved-retinal-vessel-segmentation-framework-using-frangi-filter-coupled-with-the-probabilistic-patch-based-denoiser(4e75eca0-84cd-424d-bbeb-431437fda2ad).html
https://pure.au.dk/portal/da/publications/an-improved-retinal-vessel-segmentation-framework-using-frangi-filter-coupled-with-the-probabilistic-patch-based-denoiser(4e75eca0-84cd-424d-bbeb-431437fda2ad).html
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0227566 (2020)
PLoS ONE
PLoS ONE
Automatic optic disc (OD) localization and segmentation is not a simple process as the OD appearance and size may significantly vary from person to person. This paper presents a novel approach for OD localization and segmentation which is fast as wel