Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models.
Lin GuoKunlei HongZiqi ZhangBin ZhengStefan JaegerJordan D. FuhrmanHui LiMaryellen L. GigerAndrei GabrielianAlex RosenthalDarrell E. HurtZiv YanivY. M. Fleming LurePublished in: Medical Imaging: Computer-Aided Diagnosis (2023)
Keyphrases
- x ray images
- medical images
- learning models
- chest radiographs
- x ray
- ct images
- computed tomography
- medical imaging
- machine learning
- lung nodules
- ct scans
- learning algorithm
- image processing
- loss function
- computer vision
- semi supervised learning
- learning tasks
- computer aided diagnosis
- object recognition
- machine learning algorithms
- region of interest
- single view
- classification models
- three dimensional
- data mining
- image features
- intraoperative
- decision trees
- text classification
- prior knowledge