Computer Science

1. Models 100%
2. Tumor Segmentation 89%
3. Diagnosis 79%
4. Video Processing 59%
5. Computer Vision Applications 59%
6. Neural Network Architecture 59%
7. Convolutional Neural Network 59%
8. Artificial Intelligence 59%
9. Anomaly Detection 59%
10. Deep Learning 49%
11. Event Detection 40%
12. Classes 40%
13. Generative Adversarial Networks 40%
14. U-Net 39%
15. World Health Organization 29%
16. Cancer Patient 29%
17. Experimental Result 29%
18. Contexts 29%
19. Prediction Model 29%
20. Machine Learning 29%
21. Industrial Sector 29%
22. Classifier 29%
23. False Negative 19%
24. Processing Algorithm 19%
25. Smartphones 19%
26. Multimedia Data 19%
27. Image Reconstruction 19%
28. Load Application 19%
29. Medical Computer 19%
30. Hardware Driver 19%
31. Image Processing Toolbox 19%
32. Aided Diagnosis 19%
33. C# (Programming Language) 19%
34. Processing Library 19%
35. Image Database 19%
36. Real World 19%
37. Graphics Processing Unit 19%
38. Detection 19%
39. Learning Approach 19%
40. Data Availability 19%
41. Reconstructed Image 19%
42. Unsupervised Learning 19%
43. Autoencoder 19%
44. Average Accuracy 19%
45. Segmentation 19%
46. Workload 19%
47. Essential Concept 11%
48. Smart Application 11%
49. Flash Storage 8%
50. Hard Constraint 8%