Modified bi-directional long short-term memory and hyperparameter tuning of supervised machine learning models for cardiovascular heart disease prediction in …
YK Saheed, TT Salau-Ibrahim, M Abdulsalam… - … Signal Processing and …, 2024 - Elsevier
In recent decades, cardiovascular heart disease (CHD) has emerged as the predominant
cause of mortality on a global scale. Numerous risk factors for cardiovascular disease …
cause of mortality on a global scale. Numerous risk factors for cardiovascular disease …
Efficient MRI image enhancement by improved denoising techniques for better skull stripping using attention module-based convolution neural network
J Jeme V, A Jerome S - Computer Methods in Biomechanics and …, 2024 - Taylor & Francis
Anatomical structure preservation throughout the denoising process is a challenge in the
domain of medical imaging. The Rician noise introduced through the acquisition procedure …
domain of medical imaging. The Rician noise introduced through the acquisition procedure …
Segmentation and Detection of Brain Tumors using EfficientNetB3 Model
M Vishwakarma, P Tripathi, BP Singh… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
The EfficientNetB3 model has shown to be a significant advancement in the area of medical
image analysis, namely in the identification and segmentation of brain tumors. The results of …
image analysis, namely in the identification and segmentation of brain tumors. The results of …
Leveraging Deep Learning and CNN Transfer Learning Techniques for Rice Leaf Disease.
GA Rani, S Suhag - International Journal of Recent …, 2024 - search.ebscohost.com
This paper presents an innovative approach to the automatic detection of rice leaf diseases
using advanced deep learning techniques, specifically focusing on the use of convolutional …
using advanced deep learning techniques, specifically focusing on the use of convolutional …