An Optimized Multi-Organ Cancer Cells Segmentation for Histopathological Images Based on CBAM-Residual U-Net

Engineering

• Image Analysis 100%
• Deep Learning 100%
• State-of-the-Art Technique 100%
• Medical Image 50%
• Experimental Result 50%
• High Resolution 50%
• Computational Cost 50%
• Shallower 50%
• Essential Feature 50%
• Input Pattern 50%

Computer Science

• U-Net 100%
• Histopathological Image 100%
• Convolution Block Attention Module 100%
• Cell Segmentation 100%
• Image Analysis 40%
• Deep Learning 40%
• Attention (Machine Learning) 20%
• Experimental Result 20%
• Computational Cost 20%
• Deep Feature 20%
• segmentation algorithm 20%
• Generalizability 20%
• Essential Feature 20%