Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Arastu Thakur"'
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
Autor:
Eid Albalawi, Mahesh T.R., Arastu Thakur, V. Vinoth Kumar, Muskan Gupta, Surbhi Bhatia Khan, Ahlam Almusharraf
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Brain tumor classification using MRI images is a crucial yet challenging task in medical imaging. Accurate diagnosis is vital for effective treatment planning but is often hindered by the complex nature of tumor morphology and variations in
Externí odkaz:
https://doaj.org/article/15c54cc3449f436ba6827f7deb5420dc
Autor:
Eid Albalawi, Arastu Thakur, D. Ramya Dorai, Surbhi Bhatia Khan, T. R. Mahesh, Ahlam Almusharraf, Khursheed Aurangzeb, Muhammad Shahid Anwar
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
BackgroundThe necessity of prompt and accurate brain tumor diagnosis is unquestionable for optimizing treatment strategies and patient prognoses. Traditional reliance on Magnetic Resonance Imaging (MRI) analysis, contingent upon expert interpretation
Externí odkaz:
https://doaj.org/article/7ac0cdfb5f164feaa242c4e325b8347d
Autor:
Mahesh T R, Arastu Thakur, Muskan Gupta, Deepak Kumar Sinha, Kritika Kumari Mishra, Vinoth Kumar Venkatesan, Suresh Guluwadi
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract Breast cancer stands as a paramount public health concern worldwide, underscoring an imperative necessity within the research sphere for precision-driven and efficacious methodologies facilitating accurate detection. The existing diagnostic
Externí odkaz:
https://doaj.org/article/af9d4d50327040d0b7d0248d8f5e20d5
Autor:
Moteeb Al Moteri, T. R. Mahesh, Arastu Thakur, V. Vinoth Kumar, Surbhi Bhatia Khan, Mohammed Alojail
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Breast cancer, a prevalent cancer among women worldwide, necessitates precise and prompt detection for successful treatment. While conventional histopathological examination is the benchmark, it is a lengthy process and prone to variations among diff
Externí odkaz:
https://doaj.org/article/bf456ff5c1fb43b0b9a3fe849b3a6137
Autor:
Eid Albalawi, Mahesh T.R., Arastu Thakur, V. Vinoth Kumar, Muskan Gupta, Surbhi Bhatia Khan, Ahlam Almusharraf
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/a23507172174444e8587be3f1a5ac2b4
Autor:
Eid Albalawi, Arastu Thakur, Mahesh Thyluru Ramakrishna, Surbhi Bhatia Khan, Suresh SankaraNarayanan, Badar Almarri, Theyazn Hassn Hadi
Publikováno v:
Frontiers in Medicine, Vol 10 (2024)
IntroductionOral Squamous Cell Carcinoma (OSCC) poses a significant challenge in oncology due to the absence of precise diagnostic tools, leading to delays in identifying the condition. Current diagnostic methods for OSCC have limitations in accuracy
Externí odkaz:
https://doaj.org/article/39e04743fe1b475c92922fb9b9069161