Fully-convolutional neural networks ensemble for comet segmentation in single cell gel electrophoresis assay images.
Daniel Ruz-SuarezAnabel Martín-GonzálezCarlos Brito-LoezaVíctor Uc-CetinaPublished in: Comput. methods Biomech. Biomed. Eng. Imaging Vis. (2023)
Keyphrases
- gel electrophoresis
- microscopy images
- microscopic images
- segmentation algorithm
- microscope images
- segmentation method
- cell nuclei
- fluorescence microscopy images
- image analysis
- cell segmentation
- test images
- image data
- fully automatic
- accurate segmentation
- convolutional neural networks
- image regions
- segmented images
- pixel level
- segmentation errors
- image database
- adaptive thresholding
- segmentation accuracy
- ground truth
- multiscale
- image features
- image segmentation
- pixel wise
- grey level
- computer vision
- image retrieval
- white blood
- phase contrast
- input image
- edge detection
- image segments
- medical images
- tubular structures
- image registration
- high resolution
- multiple objects
- three dimensional
- automated analysis
- region growing
- cell nucleus
- low contrast
- convolutional network