Radon transform processed neural network for lung X-ray image based diagnosis
- Title
- Radon transform processed neural network for lung X-ray image based diagnosis
- Creator
- Sharma C.; Basheer S.; Francis A.; Jayakrishna V.
- Description
- A novel method for image diagnosis with artificial learning is presented-ray images tuberculosis patients is subjected to neural network learning for prediction of diagnosis. The X-ray images of lungs are normally difficult for diagnosis, since its similarity to lung cancer. Under and over diagnosis of lung X-ray images is a difficult medical problem to resolve. In the present work radon transform of the x-ray images is fed to back propagation neural network trained with Levenberg algorithm. The present methodology gives sharp results, distincting the normal and abnormal images. 2014 IEEE.
- Source
- 2014 International Conference for Convergence of Technology, I2CT 2014
- Date
- 2014-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- neural network; radon transform
- Coverage
- Sharma C., Department of CSE, Christ University, Bangalore, India; Basheer S., Department of CSE, Amal Jyothi College of Engineering, Kerala, India; Francis A., SENSE, Vellore Institute of Technology, Tamilnadu, India; Jayakrishna V., Department of CSE, Amal Jyothi College of Engineering, Kanjirapally, Kottayam, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-147993759-2
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Sharma C.; Basheer S.; Francis A.; Jayakrishna V., “Radon transform processed neural network for lung X-ray image based diagnosis,” CHRIST (Deemed To Be University) Institutional Repository, accessed November 4, 2025, https://archives.christuniversity.in/items/show/21037.