Adaboost-based detection and segmentation of bioresorbable vascular scaffolds struts in IVOCT images.
Yifeng LuYihui CaoQinhua JinYundai ChenQinye YinJianan LiRui ZhuWei ZhaoPublished in: ICIP (2017)
Keyphrases
- segmentation algorithm
- segmentation method
- tubular structures
- complex background
- image analysis
- cell segmentation
- object detection
- test images
- segmentation errors
- image data
- segmented images
- fundus images
- retinal fundus images
- spot detection
- face detection
- bounding box
- accurate segmentation
- detection rate
- optic disc
- vessel segmentation
- segmentation accuracy
- image regions
- fully automatic
- automatically segmented
- image features
- object recognition
- texture and shape features
- image segmentation
- image retrieval
- multiple objects
- edge detection
- line extraction
- pixel level
- ground truth
- circular hough transform
- multi class
- image registration
- input image
- intravascular ultrasound
- cell nuclei
- microscopy images
- lymph nodes
- object segmentation
- intensity variations
- low signal to noise ratio
- orientation estimation
- low contrast
- pixel wise
- automated analysis
- segmentation scheme
- detection algorithm
- partial occlusion
- active contours
- dermoscopy images
- automatic segmentation
- region growing
- skin lesion
- computer vision