An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.
Yiqiu ShenNan WuJason PhangJungkyu ParkKangning LiuSudarshini TyagiLaura HeacockS. Gene KimLinda MoyKyunghyun ChoKrzysztof J. GerasPublished in: Medical Image Anal. (2021)
Keyphrases
- breast cancer
- weakly supervised
- breast cancer detection
- early detection of breast cancer
- high resolution
- object detectors
- image analysis
- ground truth
- logistic regression
- input image
- test images
- image retrieval
- computer aided diagnosis
- image data
- image classification
- low resolution
- benign and malignant
- object recognition
- three dimensional
- training examples
- super resolution
- training data
- learning algorithm
- segmentation algorithm
- topic models
- machine learning
- object detection
- superpixels
- object class
- data analysis
- support vector
- breast tissue