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Deep Learning-Enhanced Brain Tumor Prediction via Entropy-Coded BPSO in CIELAB Color Space.
Early detection of brain tumors is critical for effective treatment planning. Identifying tumors in
their nascent stages can significantly enhance the chances of patient survival. While there …
their nascent stages can significantly enhance the chances of patient survival. While there …
Edge ai on constrained iot devices: Quantization strategies for model optimization
In the field of deep learning (DL), the deployment of complex Neural Networks (NN) models
on memory-constrained devices presents a significant challenge. TinyML focuses on …
on memory-constrained devices presents a significant challenge. TinyML focuses on …
An Improved Approach for Cardiac MRI Segmentation based on 3D UNet Combined with Papillary Muscle Exclusion
Left ventricular ejection fraction (LVEF) is the most important clinical parameter of
cardiovascular function. The accuracy in estimating this parameter is highly dependent upon …
cardiovascular function. The accuracy in estimating this parameter is highly dependent upon …
[HTML][HTML] Fine grained automatic left ventricle segmentation via ROI based Tri-Convolutional neural networks
K Gayathri, R Venkatesh - Technology and Health Care, 2024 - pmc.ncbi.nlm.nih.gov
BACKGROUND: The left ventricle segmentation (LVS) is crucial to the assessment of
cardiac function. Globally, cardiovascular disease accounts for the majority of deaths, posing …
cardiac function. Globally, cardiovascular disease accounts for the majority of deaths, posing …