Transfer learning approach for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from hematoxylin-eosin stained specimens.
Dario SitnikIvica KoprivaGorana AralicaArijana PacicMarijana Popovic HadzijaMirko HadzijaPublished in: Medical Imaging: Digital Pathology (2020)
Keyphrases
- transfer learning
- intraoperative
- cell nuclei
- cancer diagnosis
- colon cancer
- tissue samples
- ct data
- lymph nodes
- tissue deformation
- x ray
- computer assisted
- lung cancer
- labeled data
- microarray
- reinforcement learning
- active learning
- clinical applications
- image guided
- ct scans
- cancer classification
- machine learning
- gene selection
- gene expression data
- histological images
- collaborative filtering
- automated detection
- quantitative analysis
- ct images
- low contrast
- imaging modalities
- learning algorithm
- machine learning algorithms
- text categorization
- automated analysis
- text classification
- minimally invasive
- patient specific
- gene expression profiles
- skin lesion
- data sets
- random forest
- microarray data
- semi supervised learning
- text mining
- supervised learning
- image processing
- data mining