Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images.
Hamed Behzadi KhormujiHabib RostamiSana SalehiTouba Derakhshande-RishehriMarzieh MasoumiSiavash SalemiAhmad KeshavarzAli GholamrezanezhadMajid AssadiAli BatouliPublished in: Comput. Methods Programs Biomed. (2020)
Keyphrases
- x ray images
- deep learning
- chest radiographs
- x ray
- fracture detection
- medical images
- unsupervised feature learning
- unsupervised learning
- lung nodules
- clinical data sets
- machine learning
- computer aided surgery
- single view
- higher order
- object detection
- three dimensional
- weakly supervised
- mental models
- medical imaging
- information extraction
- image data