Machine Learning Approach to Automated Quality Identification of Human Induced Pluripotent Stem Cell Colony Images.
Henry JoutsijokiMarkus HaponenJyrki RaskuKatriina Aalto-SetäläMartti JuholaPublished in: Comput. Math. Methods Medicine (2016)
Keyphrases
- machine learning
- stem cell
- image data
- image collections
- multiple images
- input image
- image features
- three dimensional
- image classification
- edge detection
- image database
- human subjects
- human observers
- ground truth
- decision trees
- image analysis
- object recognition
- pattern recognition
- region of interest
- test images
- quality assessment
- computer graphics
- learning algorithm
- computer vision
- lighting conditions
- rigid body
- image regions
- human visual
- high quality
- multiscale
- image retrieval
- static images
- data mining
- automated image analysis
- fully automatic
- machine learning methods
- image matching
- machine learning algorithms
- single image
- feature points
- denoising
- image processing