Can ImageNet feature maps be applied to small histopathological datasets for the classification of breast cancer metastatic tissue in whole slide images?
Taranpreet RaiA. MorisiB. BacciN. J. BaconS. A. ThomasR. M. La RagioneM. BoberK. WellsPublished in: Medical Imaging: Digital Pathology (2019)
Keyphrases
- breast cancer
- breast tissue
- mammogram images
- feature maps
- benign and malignant
- cancer datasets
- mammographic images
- bladder cancer
- image classification
- logistic regression
- computer aided diagnosis
- image analysis
- dce mri
- kernel function
- tissue samples
- three dimensional
- classification accuracy
- image data
- input image
- breast cancer patients
- image features
- feature vectors
- image retrieval
- cell nuclei
- object recognition
- decision trees
- self organizing maps
- supervised learning
- text classification
- k means
- feature space
- feature extraction