SR-AttNet: An Interpretable Stretch-Relax Attention based Deep Neural Network for Polyp Segmentation in Colonoscopy Images.
Md. Jahin AlamShaikh Anowarul FattahPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- segmentation algorithm
- neural network
- segmentation method
- test images
- image regions
- segmentation errors
- segmented images
- input image
- image analysis
- edge detection
- ground truth
- image data
- adaptive thresholding
- image database
- pixel level
- image slices
- accurate segmentation
- image features
- microscopic images
- tubular structures
- piece wise
- image retrieval
- segmentation accuracy
- pixel wise
- unsupervised segmentation
- image segments
- microscopy images
- fully automatic
- intensity images
- level set
- grey level
- image classification
- foreground and background
- image segmentation
- cell nuclei
- pigmented skin lesions
- multiple objects
- region growing
- sparse representation
- image registration
- artificial neural networks
- object recognition
- three dimensional
- gray value
- visual attention
- eye tracking
- eye movements
- medical images
- positron emission tomography
- automatically segmented