Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms.
Nan WuZhe HuangYiqiu ShenJungkyu ParkJason PhangTaro MakinoS. Gene KimKyunghyun ChoLaura HeacockLinda MoyKrzysztof J. GerasPublished in: CoRR (2020)
Keyphrases
- false positives
- global information
- neural network
- breast cancer
- early detection of breast cancer
- false negative
- detection rate
- true positive
- contextual information
- false positive rate
- structural information
- number of false positives
- computer aided
- global context
- artificial neural networks
- low false positive rate
- globally consistent
- logistic regression
- database
- data sets
- intrusion detection
- image analysis
- knowledge base
- search engine
- early detection
- high detection rate
- artificial intelligence
- machine learning