Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Yasmin M. Kassim"'
Autor:
Hang Yu, Fayad O. Mohammed, Muzamil Abdel Hamid, Feng Yang, Yasmin M. Kassim, Abdelrahim O. Mohamed, Richard J. Maude, Xavier C. Ding, Ewurama D.A. Owusu, Seda Yerlikaya, Sabine Dittrich, Stefan Jaeger
Publikováno v:
Malaria Journal, Vol 22, Iss 1, Pp 1-10 (2023)
Abstract Background Microscopic examination is commonly used for malaria diagnosis in the field. However, the lack of well-trained microscopists in malaria-endemic areas impacted the most by the disease is a severe problem. Besides, the examination p
Externí odkaz:
https://doaj.org/article/8a01579177264c2fa6a9617e6c1e9a26
Autor:
Emilia Asante, Devynn Hummel, Suman Gurung, Yasmin M. Kassim, Noor Al-Shakarji, Kannappan Palaniappan, Vinoth Sittaramane, Anand Chandrasekhar
Publikováno v:
Frontiers in Neural Circuits, Vol 15 (2021)
Precise positioning of neurons resulting from cell division and migration during development is critical for normal brain function. Disruption of neuronal migration can cause a myriad of neurological disorders. To investigate the functional consequen
Externí odkaz:
https://doaj.org/article/bf104bf928944a25af5e6d9405f1affd
Publikováno v:
Diagnostics, Vol 11, Iss 11, p 1994 (2021)
We propose a new framework, PlasmodiumVF-Net, to analyze thick smear microscopy images for a malaria diagnosis on both image and patient-level. Our framework detects whether a patient is infected, and in case of a malarial infection, reports whether
Externí odkaz:
https://doaj.org/article/488fcf6f428349ea9297ed43bea03374
Autor:
Yasmin M. Kassim
Publikováno v:
Journal of Engineering, Vol 17, Iss 03 (2011)
E-learning comprises all forms of electronically supported teaching and learning. The information and communication system, whether networked or not, serve as specific media to implement the learning process; Computer based learning is one of the app
Externí odkaz:
https://doaj.org/article/2896cd7cafac444e908c949008fc7eb7
Autor:
Deniz Kavzak Ufuktepe, Feng Yang, Yasmin M. Kassim, Hang Yu, Richard J. Maude, Kannappan Palaniappan, Stefan Jaeger
Publikováno v:
IEEE Applied Imagery Pattern Recognition Workshop : [proceedings]. IEEE Applied Imagery Pattern Recognition Workshop. 2021
Malaria is a major health threat caused by Plasmodium parasites that infect the red blood cells. Two predominant types of Plasmodium parasites are
Autor:
Manohar Karki, Karthik Kantipudi, Hang Yu, Feng Yang, Yasmin M. Kassim, Ziv Yaniv, Stefan Jaeger
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Tuberculosis (TB) is a serious infectious disease that mainly affects the lungs. Drug resistance to the disease makes it more challenging to control. Early diagnosis of drug resistance can help with decision making resulting in appropriate and succes
Autor:
Suman Gurung, Yasmin M. Kassim, Anand Chandrasekhar, Vinoth Sittaramane, Kannappan Palaniappan, Noor M. Al-Shakarji, Emilia Asante, Devynn Hummel
Publikováno v:
Frontiers in Neural Circuits
Frontiers in Neural Circuits, Vol 15 (2021)
Frontiers in Neural Circuits, Vol 15 (2021)
Precise positioning of neurons resulting from cell division and migration during development is critical for normal brain function. Disruption of neuronal migration can cause a myriad of neurological disorders. To investigate the functional consequen
Autor:
Feng Yang, Stefan Jaeger, Alex Rosenthal, Darrell E. Hurt, Karthik Kantipudi, Manohar Karki, Yasmin M. Kassim, Hang Yu, Ziv Yaniv
Publikováno v:
Quant Imaging Med Surg
BACKGROUND: Tuberculosis (TB) drug resistance is a worldwide public health problem that threatens progress made in TB care and control. Early detection of drug resistance is important for disease control, with discrimination between drug-resistant TB
Autor:
Filiz Bunyak, Maruf Hossain Shuvo, Leike Xie, Virginia H. Huxley, Kannappan Palaniappan, Yasmin M. Kassim, Vladislav V. Glinsky, Mahesh M. Thakkar, Olga V. Glinskii
Publikováno v:
ICPR
Proc IAPR Int Conf Pattern Recogn
Proc IAPR Int Conf Pattern Recogn
Characterizing the spatial relationship between blood vessel and lymphatic vascular structures, in the mice dura mater tissue, is useful for modeling fluid flows and changes in dynamics in various disease processes. We propose a new deep learning-bas
Autor:
Nila Palaniappan, Yasmin M. Kassim, Mahdieh Poostchi, Stefan Jaeger, Feng Yang, Sameer Antani, Richard J. Maude, Kannappan Palaniappan
Publikováno v:
Ieee Journal of Biomedical and Health Informatics
Computer-assisted algorithms have become a mainstay of biomedical applications to improve accuracy and reproducibility of repetitive tasks like manual segmentation and annotation. We propose a novel pipeline for red blood cell detection and counting