Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis.
Kangning LiuYiqiu ShenNan WuJakub ChledowskiCarlos Fernandez-GrandaKrzysztof J. GerasPublished in: CoRR (2021)
Keyphrases
- breast cancer diagnosis
- weakly supervised
- segmentation method
- segmentation algorithm
- test images
- breast cancer
- image analysis
- high resolution
- superpixels
- input image
- image regions
- image features
- low resolution
- image classification
- image segmentation
- object recognition
- object detectors
- ground truth
- image retrieval
- bounding box
- medical images
- object detection
- lighting conditions
- image annotation
- data mining
- machine learning
- multiple images
- object segmentation
- multiscale
- training set
- semi supervised
- super resolution
- data sets