Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph.
Po-Chih KuoCheng Che TsaiDiego M. LópezAlexandros KarargyrisTom J. PollardAlistair E. W. JohnsonLeo Anthony CeliPublished in: npj Digit. Medicine (2021)
Keyphrases
- learning models
- abnormality detection
- x ray
- x ray images
- chest radiographs
- machine learning
- loss function
- learning algorithm
- machine learning algorithms
- semi supervised learning
- learning tasks
- classification models
- learning problems
- ct scans
- conditional random fields
- medical imaging
- intraoperative
- medical images
- ct data
- three dimensional
- text mining
- supervised learning
- automatic segmentation
- feature vectors
- training set