A Hybrid Framework for Acute Lymphoblastic Leukemia Identification Utilizing VIT-CNN Fusion and Immunologically Inspired Deep Feature Selection

Computer Science

• Average Accuracy 33%
• Convolutional Neural Network 100%
• Deep Feature 100%
• Deep Learning Method 33%
• Diagnostic Process 33%
• Extracted Feature 33%
• Feature Extraction 100%
• Feature Selection 100%
• Feature Vector 33%
• Generalization Ability 33%
• Inspired Algorithm 33%
• Optical Spectrum 33%
• Performance Metric 33%
• Selection Process 33%
• Vision Transformer 33%