Content-based Image Retrieval in Medical Applications

By T. Lehmann, M. Güld, C. Thies, B. Fischer, K. Spitzer, Daniel Keysers, Hermann Ney, M. Kohnen, H. Schubert, B. Wein. Methods of Information in Medicine, 2004

365 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/fe421481c6995703def460bee45e68e6060d5485

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. Ronald M. Summers
2. Shijun Wang

In Computer Vision and Pattern Recognition

1. Ronald M. Summers
2. Shijun Wang

In Molecular Biology

1. Ronald M. Summers
2. Shijun Wang

Citations in the corpus

• Machine Learning and Radiology (2012, methodology): “For example, in content-based image retrieval in medical applications, Lehmann et al. employed graph matching to abstract medical images by hierarchical partitioning and corresponding blobs (Lehmann et al., 2004).”