Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis.
Kangning LiuYiqiu ShenNan WuJakub Piotr ChledowskiCarlos Fernandez-GrandaKrzysztof J. GerasPublished in: MIDL (2021)
Keyphrases
- breast cancer diagnosis
- weakly supervised
- segmentation algorithm
- segmentation method
- test images
- high resolution
- image analysis
- breast cancer
- superpixels
- ground truth
- input image
- image regions
- image segmentation
- image retrieval
- image classification
- data mining
- low resolution
- computer aided
- medical images
- object segmentation
- multiple images
- object recognition
- multiscale
- lighting conditions
- bounding box
- image features
- computer vision
- shape prior
- relation extraction
- cancer diagnosis