A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography.
Pranav AjmeraAmit KharatJitesh SethSnehal RathiRicha PantManish GawaliViraj KulkarniRagamayi MaramrajuIsha KediaRajesh BotchuSanjay KhaladkarPublished in: BMC Medical Imaging (2022)
Keyphrases
- pulmonary embolism
- deep learning
- lung parenchyma
- completely automated
- fully automated
- dual energy
- x ray
- automated segmentation
- unsupervised learning
- ct scans
- turing test
- machine learning
- computer tomography
- mental models
- weakly supervised
- ct images
- image reconstruction
- manual segmentation
- low dose
- multiscale
- total hip arthroplasty
- image segmentation
- fully automatic
- medical imaging
- natural images
- three dimensional
- feature selection