Learned Image resizing with efficient training (LRET) facilitates improved performance of large-scale digital histopathology image classification models.
Md. Zahangir AlomQuynh T. TranBrent A. OrrPublished in: CoRR (2024)
Keyphrases
- classification models
- image resizing
- input image
- image data
- image features
- multiscale
- digital imaging
- test images
- decision trees
- training data
- compressed images
- image classification
- feature set
- evolutionary algorithm
- data sets
- digital images
- reference frame
- texture synthesis
- dct coefficients
- image blocks
- training set
- similarity measure
- feature selection