Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images.
Pingyi ChenChenglu ZhuZhongyi ShuiJiatong CaiSunyi ZhengShichuan ZhangLin YangPublished in: CoRR (2022)
Keyphrases
- segmentation method
- microscopic images
- microscopy images
- cell nuclei
- segmentation algorithm
- cell segmentation
- image analysis
- automatically segmented
- adaptive thresholding
- bounding box
- test images
- image data
- image segmentation
- fully automatic
- input image
- image features
- complex background
- segmentation accuracy
- detection rate
- edge detection
- automated analysis
- image regions
- intensity variations
- microscope images
- segmentation errors
- automated detection
- image retrieval
- level set
- segmented images
- texture and shape features
- dense correspondence
- circular hough transform
- medical images
- object recognition
- low contrast
- region growing
- displacement field
- pixel wise
- object segmentation
- prior shape
- ground truth
- lymph nodes
- text lines
- multiple objects
- shape prior
- object detection
- computed tomography angiography