Deep-CNN-and-geometric-features-based-gastrointestinal-tract-diseases-detection-and-classification-f
Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images Muhammad Sharif, Muhammad Attique Khan, Muhammad Rashid, Mussarat Yasmin, Farhat Afza, Urcun John Tanik (Journal of Experimental & Theoretical Artificial Intelligence: IF 2.11 | 02-02-2019)
Figure 1: Sample collected WCE images
Proposed Model
Sample Image
Contrast Elongated Images
Figure 5: Proposed probability based color features clustering effects
Figure 6: Results after morphological operations
Figure 7: Utilized architecture of VGG16 for deep CNN features extraction
Figure 8: Employed architecture of VGG19 for features extraction
Figure 9: Proposed features fusion and selection approach
