Texture analysis of medical images.

By G. Castellano, Leonardo Bonilha, L. Li, F. Cendes. Clinical Radiology, 2004

1,070 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/381a30fba04a5094f0f0c2b250b00f04c023ccb6

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Anne Humeau-Heurtier

In Radiology, Nuclear Medicine and Imaging

1. Anne Humeau-Heurtier

Citations in the corpus

• Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks (2020, neutral): “They are reproducible and detect the subtle changes that cannot be observed by the visual inspection [13].”
• Texture Feature Extraction Methods: A Survey (2019, background): “[21] made a review of the principles of the main texture analysis methods and their applications to the medical field.”