Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms.
Nan WuZhe HuangYiqiu ShenJungkyu ParkJason PhangTaro MakinoS. Gene KimKyunghyun ChoLaura HeacockLinda MoyKrzysztof J. GerasPublished in: J. Digit. Imaging (2021)
Keyphrases
- false positives
- neural network
- image data
- input image
- image analysis
- single image
- multiscale
- image retrieval
- image features
- image classification
- image content
- false negative
- breast cancer
- image representation
- image segmentation
- global information
- image regions
- region of interest
- detection rate
- number of false positives
- false positive rate
- high resolution
- true positive
- medical images
- edge detection