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: CoRR (2020)
Keyphrases
- breast cancer
- weakly supervised
- breast cancer detection
- early detection of breast cancer
- high resolution
- image data
- image analysis
- object detectors
- ground truth
- image classification
- feature selection
- input image
- computer aided diagnosis
- image features
- three dimensional
- object recognition
- object class
- logistic regression
- training set
- benign and malignant
- relation extraction
- training data
- test images
- multiscale
- low resolution
- super resolution
- learning algorithm
- labeled data
- superpixels
- x ray
- text classification
- face images
- object detection
- image retrieval
- computer vision