Fully Automated Volumetric Measurement of Malignant Pleural Mesothelioma from Computed Tomography Images by Deep Learning: Preliminary Results of an Internal Validation.
Owen AndersonAndrew C. KiddKeith A. GoatmanAlexander J. WeirJeremy VoiseyVismantas DilysJan Paul SiebertKevin G. BlythPublished in: BIOIMAGING (2020)
Keyphrases
- fully automated
- deep learning
- computed tomography images
- automatic segmentation
- fully automatic
- unsupervised learning
- unsupervised feature learning
- manual segmentation
- weakly supervised
- breast cancer
- mental models
- pulmonary nodules
- three dimensional
- computer vision
- text classification
- co occurrence
- machine learning