Active Learning—Methodology
KC Santosh, S Nakarmi - Active Learning to Minimize the Possible Risk of …, 2023 - Springer
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Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
[PDF][PDF] Analyzing Overlaid Foreign Objects in Chest X-Rays—Clinical Significance and Artificial Intelligence Tools. Healthcare 2023, 11, 308
The presence of non-biomedical foreign objects (NBFO), such as coins, buttons and jewelry,
and biomedical foreign objects (BFO), such as medical tubes and devices in chest X-rays …
and biomedical foreign objects (BFO), such as medical tubes and devices in chest X-rays …
Secure and Privacy-Preserving Federated Learning With Explainable Artificial Intelligence for Smart Healthcare Systems
R Komalasari - Federated Learning and Privacy-Preserving in …, 2024 - igi-global.com
With the escalating global population, the healthcare sector faces unprecedented
challenges, necessitating innovative solutions. Deep learning (DL) and federated learning …
challenges, necessitating innovative solutions. Deep learning (DL) and federated learning …
SMLBT: secure machine learning and blockchain-based telemedicine model for the remote areas of developing countries
A reliable data safety model is currently an urgent demand for the healthcare system across
the world, especially for people dwelling in rural areas, and this domain requires top-notch …
the world, especially for people dwelling in rural areas, and this domain requires top-notch …
ResMultNet-50: An automatic medical Image Diagnosis approach for lung diseases using deep transfer learning
Lung diseases such as Covid-19, Pneumonia and Tuberculosis remains to be among the
leading causes of deaths globally. These diseases present themselves in a similar manner …
leading causes of deaths globally. These diseases present themselves in a similar manner …
SecureFed: Federated learning empowered medical imaging technique to detect COVID-19 using chest x-rays
A Makkar, KC Santosh - 2022 - researchsquare.com
Abstract Machine learning is an effective and accurate technique to diagnose COVID-19
infections using image data, and chest X-Ray (CXR) is no exception. Considering privacy …
infections using image data, and chest X-Ray (CXR) is no exception. Considering privacy …
AlexNet for Image-Based COVID-19 Diagnosis
The medical community is working harder to develop quick and accurate methods of
diagnosing the virus in response to the COVID-19 pandemic. The speed and efficiency of …
diagnosing the virus in response to the COVID-19 pandemic. The speed and efficiency of …
Cutting-edge multi-task model: unveiling COVID-19 through fusion of image processing algorithms
S Kordnoori, M Sabeti, H Mostafaei… - Computer Methods in …, 2024 - Taylor & Francis
The COVID-19 pandemic underscores the vital need for accurate lung infection diagnosis to
guide effective medical interventions. In response, this research introduces a novel deep …
guide effective medical interventions. In response, this research introduces a novel deep …
[图书][B] Evolutionary Intelligence for Healthcare Applications
This book highlights various evolutionary algorithm techniques for various medical
conditions and introduces medical applications of evolutionary computation for real-time …
conditions and introduces medical applications of evolutionary computation for real-time …
Multiclass classification of Covid-19, Tb, Pneumonia, and health cases using Deep Learning
AP Shinde - 2022 - norma.ncirl.ie
In recent times we have been made aware of the high infection rate and lethality that can be
caused by the outbreak of pulmonary diseases like Covid-19. The need for an economical …
caused by the outbreak of pulmonary diseases like Covid-19. The need for an economical …