Zobrazeno 1 - 10
of 3 408
pro vyhledávání: '"tumor detection"'
Autor:
Musa N. Hamza, Yadgar I. Abdulkarim, Salah Raza Saeed, Muharrem Karaaslan, Fatih Ozkan Alkurt, Bhargav Appasani, Rashid Mirzavand, Philibert Nsengiyumva
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Breast cancer is the most common malignancy in women globally, stemming from gene mutations that prompt irregular cellular growth and subsequent tumor development. Early-stage detection of cancer cells results in a remarkable 99% survival ra
Externí odkaz:
https://doaj.org/article/e25389f86a2c45e2be4d0481f0c55a7f
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-20 (2024)
Abstract Medical images often require segmenting into different regions in the first analysis stage. Relevant features are selected to differentiate various regions from each other, and the images are segmented into meaningful (anatomically significa
Externí odkaz:
https://doaj.org/article/e34b7cf1b51e4f0e9b29bd610cc26b96
Autor:
Mahdi Mir, Zaid Saad Madhi, Ali Hamid AbdulHussein, Mohammed Khodayer Hassan Al Dulaimi, Muath Suliman, Ahmed Alkhayyat, Ali Ihsan, Lihng LU
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract MRI imaging primarily focuses on the soft tissues of the human body, typically performed prior to a patient's transfer to the surgical suite for a medical procedure. However, utilizing MRI images for tumor diagnosis is a time-consuming proce
Externí odkaz:
https://doaj.org/article/24ccad199e8c4f5d9123d40be7ace864
Autor:
Hastyantoko Dwiki Kahingide, Abu Salam
Publikováno v:
Journal of Applied Informatics and Computing, Vol 8, Iss 1, Pp 98-105 (2024)
Image processing plays a crucial role in identifying kidney tumors through CT-Scan images. Object detection technology, particularly YOLO, stands out for its speed and accuracy in facilitating more detailed analysis. Using Flask as a web framework of
Externí odkaz:
https://doaj.org/article/d65e8b07745444acb5cfdbbec2af71fc
Publikováno v:
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Properly designed second near-infrared (NIR-II) nanoplatform that is responsive tumor microenvironment can intelligently distinguish between normal and cancerous tissues to achieve better targeting efficiency. Conventional photoac
Externí odkaz:
https://doaj.org/article/3541b5f59524472784e96eb1426df93b
Publikováno v:
Baghdad Science Journal, Vol 21, Iss 11 (2024)
Early diagnosis of brain tumor enhances the possibility of patients being cured. With the progress of the use of artificial intelligence in the medical field, the detection of brain tumors has become one of the researchers’ interests. Obtaining whi
Externí odkaz:
https://doaj.org/article/95a45a5e866547979fd9b786f4319b8d
Publikováno v:
Advanced Science, Vol 11, Iss 33, Pp n/a-n/a (2024)
Abstract Detection of circulating tumor DNA (ctDNA) mutations, which are molecular biomarkers present in bodily fluids of cancer patients, can be applied for tumor diagnosis and prognosis monitoring. However, current profiling of ctDNA mutations reli
Externí odkaz:
https://doaj.org/article/092506233c6b476c9698e61e5d3d6b2f
Autor:
K. Nishanth Rao, Osamah Ibrahim Khalaf, V. Krishnasree, Aruru Sai Kumar, Deema Mohammed Alsekait, S. Siva Priyanka, Ahmed Saleh Alattas, Diaa Salama AbdElminaam
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36773- (2024)
In cases of brain tumors, some brain cells experience abnormal and rapid growth, leading to the development of tumors. Brain tumors represent a significant source of illness affecting the brain. Magnetic Resonance Imaging (MRI) stands as a well-estab
Externí odkaz:
https://doaj.org/article/b39a0411e5eb4004bdac8d04213a06fd
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100614- (2024)
Tumors rank among the most prevalent and lethal diseases worldwide, emphasizing the paramount importance of early detection in mitigating mortality rates. There has been a tremendous growth in medical image segmentation and classification for diagnos
Externí odkaz:
https://doaj.org/article/14bad7d4a7984314abbc6fd1fbe8b60b
Autor:
Asma Alshuhail, Arastu Thakur, R Chandramma, T R Mahesh, Ahlam Almusharraf, V Vinoth Kumar, Surbhi Bhatia Khan
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract Brain tumor diagnosis using MRI scans poses significant challenges due to the complex nature of tumor appearances and variations. Traditional methods often require extensive manual intervention and are prone to human error, leading to misdia
Externí odkaz:
https://doaj.org/article/6dc137de8e614254b68748687c972765