Zobrazeno 1 - 10
of 42
pro vyhledávání: '"MRI image analysis"'
Publikováno v:
Informatics in Medicine Unlocked, Vol 50, Iss , Pp 101576- (2024)
The escalating incidence of accurate detection of brain tumors within the discipline of neuro-oncology underscores the pressing demand for enhanced diagnostic methodologies. The extant corpus of literature, predominantly focused on the categorization
Externí odkaz:
https://doaj.org/article/92f33fc0c478496783754a122d2f1a29
Autor:
Marwa Alhachami
Publikováno v:
Wasit Journal for Pure Sciences, Vol 2, Iss 4 (2023)
Detecting Alzheimer's disease (AD) accurately is crucial for early patient management, allowing for proactive steps to minimize irreversible brain damage. AD-related cognitive decline varies in severity, from mild cognitive impairment to mild, modera
Externí odkaz:
https://doaj.org/article/4912a40fcb31478eb48e8033b6808ff7
Autor:
Farhana Khan, Yonis Gulzar, Shahnawaz Ayoub, Muneer Majid, Mohammad Shuaib Mir, Arjumand Bano Soomro
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
Radiologists confront formidable challenges when confronted with the intricate task of classifying brain tumors through the analysis of MRI images. Our forthcoming manuscript introduces an innovative and highly effective methodology that capitalizes
Externí odkaz:
https://doaj.org/article/b32c44e1e03f4e25a935f7f86aba1311
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
ObjectiveIn this study, we aimed to investigate the classification of symptomatic plaques by evaluating the models generated via two different approaches, a radiomics-based machine learning (ML) approach, and an end-to-end learning approach which uti
Externí odkaz:
https://doaj.org/article/97a1d7612f124520ad436d4dfa6bb347
Autor:
Haribalan Kumar, Robby Green, Daniel M. Cornfeld, Paul Condron, Taylor Emsden, Ayah Elsayed, Debbie Zhao, Kat Gilbert, Martyn P. Nash, Alys R. Clark, Merryn H. Tawhai, Kelly Burrowes, Rinki Murphy, Maryam Tayebi, Josh McGeown, Eryn Kwon, Vickie Shim, Alan Wang, Julie Choisne, Laura Carman, Thor Besier, Geoffrey Handsfield, Thiranja Prasad Babarenda Gamage, Jiantao Shen, Gonzalo Maso Talou, Soroush Safaei, Jerome J. Maller, Davidson Taylor, Leigh Potter, Samantha J. Holdsworth, Graham A. Wilson
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
Our study methodology is motivated from three disparate needs: one, imaging studies have existed in silo and study organs but not across organ systems; two, there are gaps in our understanding of paediatric structure and function; three, lack of repr
Externí odkaz:
https://doaj.org/article/0fc92b6f4a7640d8a8cdd81453f039bd
Akademický článek
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Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1965 (2021)
Despite the promising results obtained by deep learning methods in the field of medical image segmentation, lack of sufficient data always hinders performance to a certain degree. In this work, we explore the feasibility of applying deep learning met
Externí odkaz:
https://doaj.org/article/db29dd5c78de4fab871d306368e68084
Autor:
Elisa Guma, Gabriel A. Devenyi, Ashok Malla, Jai Shah, M. Mallar Chakravarty, Marita Pruessner
Publikováno v:
Frontiers in Psychiatry, Vol 8 (2017)
Sex differences have been widely observed in clinical presentation, functional outcome and neuroanatomy in individuals with a first-episode of psychosis, and chronic patients suffering from schizophrenia. However, little is known about sex difference
Externí odkaz:
https://doaj.org/article/2e2050b763cb46bb857e65d9a3c68f26
Akademický článek
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Akademický článek
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