Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ala'a R. AL-Shamasneh"'
Publikováno v:
MethodsX, Vol 13, Iss , Pp 102844- (2024)
Plant diseases can spread rapidly, leading to significant crop losses if not detected early. By accurately identifying diseased plants, farmers can target treatment only to the affected areas, reducing the number of pesticides or fungicides needed an
Externí odkaz:
https://doaj.org/article/90c636014fc64f7dab5fe40ea092bd7e
Publikováno v:
Journal of King Saud University: Science, Vol 34, Iss 7, Pp 102254- (2022)
The medical image enhancement is major class in the image processing which aims for improving the medical diagnosis results. The improving of the quality of the captured medical images is considered as a challenging task in medical image. In this stu
Externí odkaz:
https://doaj.org/article/62361acac5534ea8b95c1e56824f14a3
Publikováno v:
Symmetry, Vol 15, Iss 2, p 396 (2023)
Images are frequently disrupted by noise of all kinds, making image restoration very challenging. There have been many different image denoising models proposed over the last few decades. Some models preserve the image’s smooth region, while others
Externí odkaz:
https://doaj.org/article/15c598df51df4319a01930d7b9665f9c
Autor:
Ali M. Hasan, Hamid A. Jalab, Rabha W. Ibrahim, Farid Meziane, Ala’a R. AL-Shamasneh, Suzan J. Obaiys
Publikováno v:
Entropy, Vol 22, Iss 9, p 1033 (2020)
Brain tumor detection at early stages can increase the chances of the patient’s recovery after treatment. In the last decade, we have noticed a substantial development in the medical imaging technologies, and they are now becoming an integral part
Externí odkaz:
https://doaj.org/article/247b8623aa7f4b6cb95de40fd0dc98fc
Autor:
Ali M. Hasan, Mohammed M. AL-Jawad, Hamid A. Jalab, Hadil Shaiba, Rabha W. Ibrahim, Ala’a R. AL-Shamasneh
Publikováno v:
Entropy, Vol 22, Iss 5, p 517 (2020)
Many health systems over the world have collapsed due to limited capacity and a dramatic increase of suspected COVID-19 cases. What has emerged is the need for finding an efficient, quick and accurate method to mitigate the overloading of radiologist
Externí odkaz:
https://doaj.org/article/29c52cd8d73c4ea4a714e69ea2beff5e
Autor:
Ala'a R. Al-Shamasneh
Publikováno v:
2023 International Conference on Smart Computing and Application (ICSCA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88140f2abf0fed3b3f7afd1338903990
https://doi.org/10.1109/icsca57840.2023.10087456
https://doi.org/10.1109/icsca57840.2023.10087456
Autor:
Rabha W. Ibrahim, Ali M. Hasan, Ala'a R. Al-Shamasneh, Dumitru Baleanu, Hamid A. Jalab, Faten Khalid Karim
Publikováno v:
Computers, Materials & Continua. 68:1467-1483
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::782f0034b443ec8bfa0a95153564e765
https://doi.org/10.32604/cmc.2021.016047
https://doi.org/10.32604/cmc.2021.016047
Publikováno v:
Computers, Materials & Continua. 67:2061-2075
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb7d61783261bc01eb678a70c001b48c
https://doi.org/10.32604/cmc.2021.015170
https://doi.org/10.32604/cmc.2021.015170
Autor:
Hamid A. Jalab, Rabha W. Ibrahim, Ala'a R. Al-Shamasneh, Palaiahnakote Shivakumara, Unaizah Obaidellah
Publikováno v:
Signal, Image and Video Processing. 14:1361-1368
In the field of diagnosis and treatment planning of kidney-related diseases, accurate kidney segmentation is challenging due to intensity inhomogeneity caused by imperfections during image acquisition process. This study presents a model, which consi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdb60fe62b326651502fec78cf5f184b
https://doi.org/10.1007/s11760-020-01673-9
https://doi.org/10.1007/s11760-020-01673-9
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030794620
IEA/AIE (2)
IEA/AIE (2)
The precise and proficient detection of the kidney boundary in low-contrast images is considered as the main difficulty in the detection of kidney boundary in MRI image. The exact identification of a kidney shape in medical images with decreased non-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d96d910067f52c5f200d9901ec440187
https://doi.org/10.1007/978-3-030-79463-7_25
https://doi.org/10.1007/978-3-030-79463-7_25
