Information fusion-based Bayesian optimized heterogeneous deep ensemble model based on longitudinal neuroimaging data
N Rahim, S El-Sappagh, H Rizk, OA El-serafy… - Applied Soft …, 2024 - Elsevier
The fusion of multimodal longitudinal data is difficult but crucial for enhancing the accuracy
of deep learning models for disease identification and helps provide tailored and patient …
of deep learning models for disease identification and helps provide tailored and patient …
Towards fully automated deep-learning-based brain tumor segmentation: Is brain extraction still necessary?
BM Pacheco, GS e Cassia, D Silva - Biomedical Signal Processing and …, 2023 - Elsevier
State-of-the-art brain tumor segmentation is based on deep learning models applied to multi-
modal MRIs. Currently, these models are trained on images after a preprocessing stage that …
modal MRIs. Currently, these models are trained on images after a preprocessing stage that …
Brain tumors MRI classification through CNN transfer learning models-An Overview
EM Mahmoud, AM Mahrous… - The …, 2023 - modernacademy-journal.synceg.net
One of the most prevalent methods employed in medical research involves identifying brain
tumors and monitoring their growth through brain MRI scans. By examining the internal …
tumors and monitoring their growth through brain MRI scans. By examining the internal …