Dual deep cnn for tumor brain classification
AM Al-Zoghby, EMK Al-Awadly, A Moawad, N Yehia… - Diagnostics, 2023 - mdpi.com
Brain tumor (BT) is a serious issue and potentially deadly disease that receives much
attention. However, early detection and identification of tumor type and location are crucial …
attention. However, early detection and identification of tumor type and location are crucial …
The role of llms in sustainable smart cities: Applications, challenges, and future directions
Smart cities stand as pivotal components in the ongoing pursuit of elevating urban living
standards, facilitating the rapid expansion of urban areas while efficiently managing …
standards, facilitating the rapid expansion of urban areas while efficiently managing …
[HTML][HTML] Brain tumor detection using magnetic resonance imaging and convolutional neural networks
R Martínez-Del-Río-Ortega, J Civit-Masot… - Big Data and Cognitive …, 2024 - mdpi.com
Early and precise detection of brain tumors is critical for improving clinical outcomes and
patient quality of life. This research focused on developing an image classifier using …
patient quality of life. This research focused on developing an image classifier using …
PyQDCNN: Pyramid QDCNNet for multi-level brain tumor classification using MRI image
CP Jetlin - Biomedical Signal Processing and Control, 2025 - Elsevier
The abnormal growth of group of tissues or cells inside the brain is termed as brain tumor
(BT). It happens when cells in the brain grow abnormally. In recent times, a major cause of …
(BT). It happens when cells in the brain grow abnormally. In recent times, a major cause of …
Brain tumor classification in VIT-B/16 based on relative position encoding and residual MLP
S Hong, J Wu, L Zhu, W Chen - Plos one, 2024 - journals.plos.org
Brain tumors pose a significant threat to health, and their early detection and classification
are crucial. Currently, the diagnosis heavily relies on pathologists conducting time …
are crucial. Currently, the diagnosis heavily relies on pathologists conducting time …
A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis
SH Khan - arXiv preprint arXiv:2405.12986, 2024 - arxiv.org
Alzheimer diseases (ADs) involves cognitive decline and abnormal brain protein
accumulation, necessitating timely diagnosis for effective treatment. Therefore, CAD systems …
accumulation, necessitating timely diagnosis for effective treatment. Therefore, CAD systems …
A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
Forecasting speculative stock prices is essential for effective investment risk management
that drives the need for the development of innovative algorithms. However, the speculative …
that drives the need for the development of innovative algorithms. However, the speculative …
Novel Deep CNNs Explore Regions, Boundaries, and Residual Learning for COVID-19 Infection Analysis in Lung CT
BK Alshemaimri, SH Khan - medRxiv, 2024 - medrxiv.org
COVID-19 poses a global health crisis, necessitating precise diagnostic methods for timely
containment. However, accurately delineating COVID-19 affected regions in Lung CT scans …
containment. However, accurately delineating COVID-19 affected regions in Lung CT scans …
[HTML][HTML] Novel Deep CNNs Explore Regions, Boundaries, and Residual Learning for COVID-19 Infection Analysis in Lung CT
BK Alshemaimri - Tomography, 2024 - pmc.ncbi.nlm.nih.gov
COVID-19 poses a global health crisis, necessitating precise diagnostic methods for timely
containment. However, accurately delineating COVID-19-affected regions in lung CT scans …
containment. However, accurately delineating COVID-19-affected regions in lung CT scans …
Deep and hand-crafted features based on Weierstrass elliptic function for MRI brain tumor classification
I Aldawish, HA Jalab - Journal of Intelligent Systems, 2024 - degruyter.com
Advances in medical imaging and artificial intelligence have led to improvements in
diagnosis and non-invasive patient examination accuracy. The use of the fundamental …
diagnosis and non-invasive patient examination accuracy. The use of the fundamental …