A Comparative Study of Machine Learning Algorithms and SIFT for Identifying the Quality of Human Induced Pluripotent Stem Cell Colony.
Henry JoutsijokiMarkus HaponenKatriina Aalto-SetäläMartti JuholaPublished in: CIBCB (2023)
Keyphrases
- machine learning algorithms
- stem cell
- benchmark data sets
- learning algorithm
- decision trees
- machine learning methods
- machine learning
- predictive accuracy
- learning problems
- learning tasks
- random forests
- machine learning approaches
- machine learning models
- statistical machine learning
- keypoints
- machine learning systems
- object recognition
- standard machine learning algorithms
- ant colony
- learning models
- support vector
- input features
- supervised learning algorithms
- statistical learning
- training data
- general purpose