Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank.
Matthew T. MacleanQasim JehangirMarijana VujkovicYi-An KoHarold LittArijitt BorthakurHersh SagreiyaMark RosenDavid A. MankoffMitchell D. SchnallHaochang ShouJulio A. ChirinosScott M. DamrauerDrew A. TorigianRotonya CarrDaniel J. RaderWalter R. WitscheyPublished in: J. Am. Medical Informatics Assoc. (2021)
Keyphrases
- deep learning
- computed tomography
- electronic health records
- ct data
- liver segmentation
- ct images
- medical images
- image reconstruction
- ct scans
- medical imaging
- medical data
- clinical data
- three dimensional
- clinical trials
- health care
- unsupervised learning
- medical records
- automatic segmentation
- mental models
- machine learning
- mr images
- patient specific
- weakly supervised
- intraoperative
- information retrieval
- knowledge discovery
- deformable models
- feature extraction
- data mining
- x ray
- patient data
- decision support system
- principal component analysis
- image processing
- decision making
- training set
- lymph nodes
- text mining