Automated cancer stem cell recognition in H and E stained tissue using convolutional neural networks and color deconvolution.
Wolfgang AichingerSebastian KrappeA. Enis ÇetinRengül Çetin-AtalayAysegül ÜnerMichaela BenzThomas WittenbergMarc StammingerChristian MünzenmayerPublished in: Medical Imaging: Digital Pathology (2017)
Keyphrases
- convolutional neural networks
- stem cell
- tissue samples
- convolutional network
- bone marrow
- histopathological images
- color images
- cell nuclei
- recognition rate
- normal tissue
- automated analysis
- digital image analysis
- microarray
- object recognition
- objects in cluttered scenes
- road signs
- multiresolution
- color information
- color space
- image restoration
- image analysis
- cancer diagnosis
- lymph nodes
- breast cancer
- microscopic images
- feature extraction
- medical images
- least squares
- gene expression data