Use of deep learning to predict postoperative recurrence of lung adenocarcinoma from preoperative CT.
Yuki SasakiYohan KondoTadashi AokiNaoya KoizumiToshiro OzakiHiroshi SekiPublished in: Int. J. Comput. Assist. Radiol. Surg. (2022)
Keyphrases
- deep learning
- ct data
- ct scans
- ct images
- ct volume
- intraoperative
- computed tomography
- x ray
- automatic segmentation
- patient specific
- computer tomography
- medical images
- computer assisted
- unsupervised learning
- medical imaging
- unsupervised feature learning
- machine learning
- image reconstruction
- inter patient
- statistical shape model
- image guided
- mental models
- computer aided diagnosis
- pre operative
- total hip arthroplasty
- pulmonary nodules
- weakly supervised
- region of interest
- three dimensional
- minimally invasive
- clinical applications
- deep architectures
- text mining
- principal component analysis
- information extraction