TumorGANet: A transfer learning and generative adversarial network-based data augmentation model for brain tumor classification
Diagnosing brain tumors using magnetic resonance imaging (MRI) presents significant
challenges due to the complexities of segmentation and the variability in tumor …
challenges due to the complexities of segmentation and the variability in tumor …
Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer
PT Krishnan, P Krishnadoss, M Khandelwal… - Frontiers in …, 2024 - frontiersin.org
Background The Rotation Invariant Vision Transformer (RViT) is a novel deep learning
model tailored for brain tumor classification using MRI scans. Methods RViT incorporates …
model tailored for brain tumor classification using MRI scans. Methods RViT incorporates …
A fusion of cross-shaped window attention block and enhanced 3D U-Net for brain tumor segmentation.
Brain tumor diagnosis and treatment are primarily reliant on medical imaging, necessitating
precise segmentation methodologies for practical clinical solutions. Tumor boundaries are …
precise segmentation methodologies for practical clinical solutions. Tumor boundaries are …
Assessment of Different Approaches used for Image Enhancement in Underwater Scenarios
R Rohilla - 2023 9th International Conference on Signal …, 2023 - ieeexplore.ieee.org
There has been a lot of work done in the field of underwater image processing in recent
years. Due to the difficulty of underwater photography, there has been an increase in …
years. Due to the difficulty of underwater photography, there has been an increase in …
[PDF][PDF] TumorGANet: A Transfer Learning and Generative Adversarial Network-Based Data Augmentation Model for Brain Tumor Classification
T AL-SHEHARI, M KADRIE, M AL-RAZGAN… - 2024 - researchgate.net
Diagnosing brain tumors using magnetic resonance imaging (MRI) presents significant
challenges due to the complexities of segmentation and the variability in tumor …
challenges due to the complexities of segmentation and the variability in tumor …
Machine Learning-based Brain Tumor Segmentation: A Comprehensive Review
RS Aleesa, N kadhim Al-bermani… - … of University of …, 2024 - journalofbabylon.com
Segmentation of Brain tumors refers to a crucial function in medical image processing.
Despite a lot of main attempts and satisfactory results in such a field, appropriate …
Despite a lot of main attempts and satisfactory results in such a field, appropriate …