Neural networks for computer-aided diagnosis: detection of lung nodules in chest radiograms
β Scribed by Coppini, G.; Diciotti, S.; Falchini, M.; Villari, N.; Valli, G.
- Book ID
- 114643218
- Publisher
- IEEE
- Year
- 2003
- Tongue
- English
- Weight
- 1018 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1089-7771
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
As the detection and characterization of lung nodules are of paramount importance in thoracic radiology, various tools for making a computer-aided diagnosis (CAD) have been developed to improve the diagnostic performance of radiologists in clinical practice. Numerous studies over the years have show
Several abnormalities of the shape of lung fields (depression and flattening of the diaphragmatic contours, increased retrosternal space) are indicative of emphysema and can be accurately imaged by digital chest radiography. In this work, we aimed at developing computational descriptors of the shape