DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer.
Yoni SchirrisEfstratios GavvesIris NederlofHugo Mark HorlingsJonas TeuwenPublished in: Medical Image Anal. (2022)
Keyphrases
- breast cancer
- mammogram images
- breast cancer diagnosis
- benign and malignant
- bladder cancer
- digital mammography
- computer aided detection
- microcalcification clusters
- breast tissue
- early detection
- training set
- early detection of breast cancer
- input image
- logistic regression
- image data
- mammographic images
- diagnosis of breast cancer
- three dimensional
- computer aided diagnosis
- breast cancer detection
- decision trees
- lung nodules
- skin lesion
- image features
- survival analysis
- image analysis
- image registration
- classification accuracy
- computer aided
- region of interest
- machine learning
- cancer datasets
- support vector
- cell nuclei
- text classification