An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors.
Longxi ZhouXianglin MengYuxin HuangKai KangJuexiao ZhouYuetan ChuHaoyang LiDexuan XieJiannan ZhangWeizhen YangNa BaiYi ZhaoMingyan ZhaoGuohua WangLawrence CarinXigang XiaoKaijiang YuZhaowen QiuXin GaoPublished in: Nat. Mach. Intell. (2022)
Keyphrases
- deep learning
- ct scans
- computed tomography
- medical images
- ct images
- x ray
- unsupervised learning
- unsupervised feature learning
- machine learning
- computer aided diagnosis
- region of interest
- mental models
- computer aided detection
- medical imaging
- image reconstruction
- supervised learning
- viewpoint
- weakly supervised
- three dimensional
- topic models
- pairwise
- computer vision