Segmentation And Quantification Of Cellular Load In Pulmonary Endomicroscopic Images Using Convolutional Neural Networks.
Savinien BonheurAhmed Karam EldalyJody WesterfeldDavid WilsonKevin DhaliwalSteve McLaughlinAntonios PerperidisPublished in: ISBI (2019)
Keyphrases
- segmentation algorithm
- segmentation method
- segmentation errors
- image analysis
- test images
- accurate segmentation
- automatic segmentation
- image data
- grey level
- adaptive thresholding
- segmented images
- image database
- image segmentation
- edge detection
- ground truth
- fully automatic
- input image
- convolutional neural networks
- pixel level
- quantitative evaluation
- segmentation accuracy
- three dimensional
- image regions
- image retrieval
- image collections
- microscopy images
- image segments
- automatically segmented
- multiple objects
- region of interest
- medical images
- image registration
- image segmentation algorithms
- image features
- image annotation
- cell nuclei