Comprehensive survey of iot, machine learning, and blockchain for health care applications: A topical assessment for pandemic preparedness, challenges, and …
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …
various domains, especially in health monitoring systems. Machine learning techniques …
[HTML][HTML] DMDF-Net: Dual multiscale dilated fusion network for accurate segmentation of lesions related to COVID-19 in lung radiographic scans
M Owais, NR Baek, KR Park - Expert Systems with Applications, 2022 - Elsevier
The recent disaster of COVID-19 has brought the whole world to the verge of devastation
because of its highly transmissible nature. In this pandemic, radiographic imaging …
because of its highly transmissible nature. In this pandemic, radiographic imaging …
[PDF][PDF] Imran; Imtiaz, J.; Fayaz, M.; Gwak, J. Comprehensive Survey of IoT
M Imran, U Zaman - Machine Learning, and Blockchain …, 2021 - pdfs.semanticscholar.org
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …
various domains, especially in health monitoring systems. Machine learning techniques …
Comparison of u-net backbones for morphometric measurements of white blood cell
Measurements of Morphometric Parameters of Blood Cells (MPBC) playa key role in
haematological examination, and it is considered as one of the principal needs for clinicians …
haematological examination, and it is considered as one of the principal needs for clinicians …
[HTML][HTML] Res-UNet Ensemble Learning for Semantic Segmentation of Mineral Optical Microscopy Images
C Jiang, A Abdul Halin, B Yang, LN Abdullah… - Minerals, 2024 - mdpi.com
In geology and mineralogy, optical microscopic images have become a primary research
focus for intelligent mineral recognition due to their low equipment cost, ease of use, and …
focus for intelligent mineral recognition due to their low equipment cost, ease of use, and …
Evaluation of COVID-19 lesion from CT scan slices: a study using entropy-based thresholding and DRLS segmentation
H Lin - Frontiers of Artificial Intelligence in Medical Imaging, 2022 - iopscience.iop.org
Pneumonia is one of the primary lung diseases in humans, causing mild to severe
respiratory problems. Timely screening and treatment execution is essential to control and …
respiratory problems. Timely screening and treatment execution is essential to control and …
Image Segmentation Algorithms using Different Unet Mechanisms and it Performance
J Sebes, N Darapaneni, S Borah… - … Global Conference on …, 2023 - ieeexplore.ieee.org
Pneumonia is a lung illness that affects the respiratory system. Both viruses and bacteria are
capable of causing this condition. Affected individuals will have a more challenging time …
capable of causing this condition. Affected individuals will have a more challenging time …
An Investigation of COVID-19 Diagnosis and Severity Detection Using Convolutional Neural Networks
V Dhanya, S Mathi - International Conference on Image Processing and …, 2022 - Springer
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus
disease 2019 (COVID-19). It is a contagious disease that has infected more than millions of …
disease 2019 (COVID-19). It is a contagious disease that has infected more than millions of …
Deep-Learning Supported Detection of COVID-19 in Lung CT Slices with Concatenated Deep Features
R Sivakumar, S Kadry, S Krishnamoorthy… - … Conference on Data …, 2022 - Springer
This research proposes and implements an automatic diagnostic scheme for detecting
COVID-19 infection using lung CT slices to decrease the diagnostic burden. The proposed …
COVID-19 infection using lung CT slices to decrease the diagnostic burden. The proposed …