Deep-CNN-and-geometric-features-based-gastrointestinal-tract

Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images

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

Proposed Model

Contrast Elongating

Sample Image

Contrast Elongated Images

Lesion Detection

Figure 5: Proposed probability based color features clustering effects

Figure 6: Results after morphological operations

Deep CNN Features Extraction

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

Results and Discussion