Medical Image Segmentation Using K-Means Clustering and Improved Watershed Algorithm

By Hsiao Piau Ng, Sim Heng Ong, Kelvin Weng Chiong Foong, Poh-Sun Goh, Wieslaw Lucjan Nowinski. 2006 IEEE Southwest Symposium on Image Analysis and Interpretation, 2006

490 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/bd7e1df00e462d8272dc2e69639bdb89dfb6340b

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. J. Manuel
2. Roberto Frias
3. Zhen Ma
4. R. S. Tavares
5. Al. Prof. Hernâni Monteiro
6. Renato Natal
7. Teresa Mascarenhas

Citations in the corpus

• A review of algorithms for medical image segmentation and their applications to the female pelvic cavity (2010, methodology): “Typical examples are watershed algorithms (Beucher and Lantuéjoul 1979; Vincent and Soille 1991; Grau et al. 2004; Ng et al. 2006; Hamarneh and Li 2009) which combine image intensity with gradient information and use mathematical morphology operations to do the segmentation.”