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Menampilkan 1–4 dari 4 artikel
A Cubical Persistent Homology-Based Technique for Image Denoising with Topological Feature Preservation
Al-Imran, Md.
; Liza, Mst Zinia Afroz
; Shiraj, Md. Morshed Bin
; Murshed, Md. Masum
; Akhter, Nasima
Journal of Computing Theories and Applications
Vol 2
, No 2
(2024)
Image denoising is a fundamental challenge in image processing, where the objective is to remove noise while preserving critical image features. Traditional denoising methods, such as Wavelet, Total Variation (TV) minimization, and Non-Local Means (NLM), often struggle to maintain the topological integrity of image features, leading to the loss of essential structures. This study proposes a Cubical Persistent Homology-Based Technique (CPHBT) that leverages persistence barcodes to identify signif...
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Health Insurance Based on Credit Card in Financial Institutions for Developing Countries: Challenges and Opportunities
Journal of Health Sciences, Public Health and Pharmacy
Vol 1
, No 3
(2024)
In developing countries, access to health insurance remains a critical challenge, with large segments of the population unable to afford adequate coverage. One potential solution is integrating health insurance with financial institutions, particularly through credit cards, offering a convenient and accessible method for individuals to manage health expenditures. Credit cards can open a new horizon to make healthcare affordable, convenient, competitive and important in improving service quality....
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Digital Health Insurance System in Bangladesh: Facilitating Health Expenditure and Ensuring Health Security
International Journal of Health and Medicine
Vol 1
, No 3
(2024)
The implementation of digital health insurance systems represents a pivotal shift in healthcare management globally, aiming to streamline processes, enhance accessibility, and mitigate financial barriers to healthcare services. This study investigates the impact of digital health insurance on health expenditure and health security in Bangladesh, a country striving to improve its healthcare infrastructure and financial accessibility. However, in Bangladesh health insurance does not exist and peop...
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An Intelligent Telediagnosis of Acute Lymphoblastic Leukemia using Histopathological Deep Learning
Khan Tusar, Md. Taufiqul Haque
; Islam, Md. Touhidul
; Sakil, Abul Hasnat
; Khandaker, M N Huda Nahid
; Hossain, Md. Monir
Journal of Computing Theories and Applications
Vol 2
, No 1
(2024)
Leukemia, a global health challenge characterized by malignant blood cell proliferation, demands innovative diagnostic techniques due to its increasing incidence. Among leukemia types, Acute Lymphoblastic Leukemia (ALL) emerges as a particularly aggressive form affecting diverse age groups. This study proposes an advanced mechanized system utilizing Deep Neural Networks for detecting ALL blast cells in microscopic blood smear images. Achieving a remarkable accuracy of 97% using MobileNetV2, our...
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