Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions

By Anant Madabhushi, Dimitris N. Metaxas. IEEE Transactions on Medical Imaging, 2003

347 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/bff4b9e8353c7225aa45414e6f837135032ebe2b

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. Djamal Boukerroui
2. Alison Noble

In Computer Vision and Pattern Recognition

1. Djamal Boukerroui
2. Alison Noble

In Radiology, Nuclear Medicine and Imaging

1. Djamal Boukerroui
2. Alison Noble

Citations in the corpus

• Ultrasound image segmentation: a survey (2006, methodology): “Examples breast ultrasound from Madabhushi and Metaxas (2003) [73].”