Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Toufique Ahmed Soomro"'
Autor:
Samar M. Alqhtani, Toufique Ahmed Soomro, Ahmed Ali Shah, Abdul Aziz Memon, Muhammad Irfan, Saifur Rahman, Mohammed Jalalah, Abdulkarem H. M. Almawgani, Ladon Ahmed Bade Eljak
Publikováno v:
IEEE Access, Vol 12, Pp 61312-61335 (2024)
Cancer associated with the nervous system and brain tumors ranks among the leading causes of death in various countries. Magnetic resonance imaging (MRI) and computed tomography (CT) capture brain images. MRI is pivotal in diagnosing brain tumors and
Externí odkaz:
https://doaj.org/article/aafd1258c28b4c18a767e212c181e87d
Autor:
Abdullah A. Asiri, Toufique Ahmed Soomro, Ahmed Ali Shah, Ganna Pogrebna, Muhammad Irfan, Saeed Alqahtani
Publikováno v:
IEEE Access, Vol 12, Pp 42868-42887 (2024)
Neurological and brain-related cancers are one of the main causes of death worldwide. A commonly used tool in diagnosing these conditions is Magnetic Resonance Imaging (MRI), yet the manual evaluation of MRI images by medical experts presents difficu
Externí odkaz:
https://doaj.org/article/6642543d75f142b4a35c803383fc0679
Autor:
Ming Yin, Toufique Ahmed Soomro, Fayyaz Ali Jandan, Ayoub Fatihi, Faisal Bin Ubaid, Muhammad Irfan, Ahmed J. Afifi, Saifur Rahman, Sergii Telenyk, Grzegorz Nowakowski
Publikováno v:
IEEE Access, Vol 11, Pp 130451-130465 (2023)
Deep learning has found widespread application in diabetic retinopathy (DR) screening, primarily for lesion detection. However, this approach encounters challenges such as information loss due to convolutional operations, shape uncertainty, and the h
Externí odkaz:
https://doaj.org/article/c4af308535504d76b81a310055e3aac7
Publikováno v:
PLoS ONE, Vol 18, Iss 12 (2023)
Externí odkaz:
https://doaj.org/article/bb8521d317ae4ac19cbd8b34348c4fe9
Autor:
Mohammad A. U. Khan, Faizan Abdullah, Awais Akram, Rizwan Ali Naqvi, Mehwish Mehmood, Dildar Hussain, Toufique Ahmed Soomro
Publikováno v:
IEEE Access, Vol 9, Pp 44442-44452 (2021)
Retinal vessel segmentation is important for analyzing many retinal diseases, where manual segmentation of these vessels is an extensive job. Automatic segmentation of these vessels can help much in the diagnosis of these retinal diseases. Several im
Externí odkaz:
https://doaj.org/article/95120a6ffdab483699605c2a041102e3
Publikováno v:
IEEE Access, Vol 9, Pp 147016-147028 (2021)
This research presents hybrid level set evolution for complex and inhomogeneous image segmentation. Firstly, we develop an adaptive force with level set evolution, which is driven by region information. Adaptive force is produced by consolidating loc
Externí odkaz:
https://doaj.org/article/efd9c234b8a24372af4a33ad93723b2c
Autor:
Jameel Ahmed Bhutto, Tian Lianfang, Qiliang Du, Toufique Ahmed Soomro, Yu Lubin, Muhammad Faizan Tahir
Publikováno v:
IEEE Access, Vol 8, Pp 157005-157021 (2020)
Image enhancement is a challenging task in image analysis particularly, it is more challenging in performing image fusion. Image fusion is the process of combining multiple images to produce quality output without any variation in contrast, blurring,
Externí odkaz:
https://doaj.org/article/604cd8a73bad46fb983b53b17c9226d1
Autor:
Asad Munir, Shafiullah Soomro, Muhammad Tanseef Shahid, Toufique Ahmed Soomro, Kwang Nam Choi
Publikováno v:
IEEE Access, Vol 7, Pp 135399-135412 (2019)
By using local and global image information, a novel active contour method based on the p-Laplace equation for image segmentation is proposed in this paper. The force term in the evolution equation incorporates global, local and edge information of t
Externí odkaz:
https://doaj.org/article/a8981afc0804430bbc3191fe51af0eed
Autor:
Toufique Ahmed Soomro, Ahmed J. Afifi, Ahmed Ali Shah, Shafiullah Soomro, Gulsher Ali Baloch, Lihong Zheng, Ming Yin, Junbin Gao
Publikováno v:
IEEE Access, Vol 7, Pp 158183-158197 (2019)
In this paper, we have developed a new method of accurate detection of retinal blood vessels based on a deep convolutional neural network (CNN) model. This method plays an important role in the observation of many eye diseases. Retinal Images have ma
Externí odkaz:
https://doaj.org/article/3ebd10af15e940599955f8dda131957d
Autor:
Toufique Ahmed Soomro, Ahmed J. Afifi, Lihong Zheng, Shafiullah Soomro, Junbin Gao, Olaf Hellwich, Manoranjan Paul
Publikováno v:
IEEE Access, Vol 7, Pp 71696-71717 (2019)
This paper presents a comprehensive review of the principle and application of deep learning in retinal image analysis. Many eye diseases often lead to blindness in the absence of proper clinical diagnosis and medical treatment. For example, diabetic
Externí odkaz:
https://doaj.org/article/c01170a716a14d97a99922004cfdb196