Automated Quantification of Pancreatic Steatosis in Biopsy Images using a Classification Based System.
Alexandros ArjmandM. PappasO. TsakaiV. ChristonAlexandros T. TzallasMarkos G. TsipourasRoberta ForlanoPinelopi ManousouR. GoldinEvripidis GlavasNikolaos GiannakeasPublished in: SEEDA-CECNSM (2021)
Keyphrases
- image classification
- image database
- image data
- image analysis
- three dimensional
- image retrieval
- handwritten digits
- quantitative evaluation
- input image
- object recognition
- image features
- ground truth
- pattern recognition
- text classification
- image matching
- edge detection
- classification method
- pigmented skin lesions
- thematic mapper
- machine learning
- supervised learning
- classification accuracy
- computer aided
- decision trees
- automated segmentation
- training set
- fractal dimension
- image collections
- fully automatic
- support vector machine svm
- color images
- segmentation algorithm
- region of interest
- image annotation
- support vector machine
- image quality
- multiscale
- d objects
- feature extraction
- image registration