Computer-aided diagnosis in chest radiography: a survey

By B. van Ginneken, B. T. H. Romeny, Max A. Viergever. IEEE Transactions on Medical Imaging, 2001

618 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/ceddfad717e3e521d337f35904a1c78c1d75c490

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Stefan Jaeger
2. George R. Thoma
3. Kayvan Najarian
4. Sameer Kiran Antani
5. Mark A. Kon
6. Kannappan K. Palaniappan
7. Jenifer Siegelman
8. Alexandros Karargyris

In Pulmonary and Respiratory Medicine

1. Kayvan Najarian
2. Mark A. Kon
3. Víctor Murray
4. Marios S. Pattichis
5. Ashwin Belle

In Radiology, Nuclear Medicine and Imaging

1. Kayvan Najarian
2. Mark A. Kon
3. Ashwin Belle

Citations in the corpus

• Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration (2013, neutral): “In their subsequent work [14], quantitative results of some early segmentation algorithms are listed.”
• Biomedical Informatics for Computer-Aided Decision Support Systems: A Survey (2013, methodology): “With multiple technologies for medical imaging such as computed tomography (CT), X-rays, magnetic resonance imaging (MRI), and functional MRI (FMRI), numerous biomedical informatics methods have been designed for application-speci�c solutions.”
• Recent multiscale AM-FM methods in emerging applications in medical imaging (2012, background): “Related work, by different research groups, can be found in [102-108].”
• Automatic Tuberculosis Screening Using Chest Radiographs (2013, background): “In recent years, due to the complexity of developing fullfledged CAD systems for x-ray analysis, research has concentrated on developing solutions for specific subproblems [21], [14].”