Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models.
Maximilian FischerPeter F. NeherMichael GötzShuhan XiaoSilvia Dias AlmeidaPeter SchüfflerAlexander MuckenhuberRickmer BrarenJens KleesiekMarco NoldenKlaus H. Maier-HeinPublished in: Bildverarbeitung für die Medizin (2023)
Keyphrases
- pre trained
- deep learning
- image database
- object recognition
- image features
- input image
- image retrieval
- image classification
- small number
- machine learning
- image annotation
- viewpoint
- model selection
- illumination conditions
- training examples
- test images
- learning algorithm
- training data
- lighting conditions
- action recognition
- unsupervised learning
- supervised learning
- feature space