Classification-of-Gastrointestinal-Diseases-of-Stomach-from-WCE-using-the-improved-Saliency-based-me
Classification of Gastrointestinal Diseases of Stomach from WCE using the improved Saliency-based method and Color Features
Algorithm 1: Initialize the Mask (φ^0)
Step 1: Set the initial Mask to zero
Step 2: MinPixelRange ← 50, MaxPixelRange ← 210
Step 3: rows ← MinPixelRange, cols ← MinPixelRange
Step 4: For rows to MaxPixelRange
if (rows == MinPixelRange)
MaxPixelValue ← Selected Channel (rows, cols)
End if
For cols to MaxPixelRange
if (Selected Channel (rows, cols) ≥ MaxPixelValue)
MaxPixelValue ← Selected Channel (rows, cols)
R ← rows
C ← cols
End if
End inner For
End outer For
Step 5: Create MaskValue1 ← ((R+C))/2, and MaskValue2 ← MaskValue1/2
Step 6: Get final Mask ((MaskValue2, MaskValue1), (MaskValue2, MaskValue1))
Figure 4: Improved saliency-based segmentation effects.
Figure 5: Proposed fusion effects using MAP approach.
Figure 6: Flow diagram of Features extraction and reduction.
Segmentation Accuracy
Classification Accuracy
Confusion Matrix
Computation Time
