This article is part of the supplement: Proceedings of the 11th European Congress on Telepathology and 5th International Congress on Virtual Microscopy
Cell nuclei extraction from breast cancer histopathologyimages using colour, texture, scale and shape information
1 IPAL– UMI CNRS, 1 Fusionopolis Way, #21-01 Connexis, 138632 Singapore
2 School of Computing, National University of Singapore, 117417 Singapore
Diagnostic Pathology 2013, 8(Suppl 1):S5 doi:10.1186/1746-1596-8-S1-S5Published: 30 September 2013
First paragraph (this article has no abstract)
Standard cancer diagnosis and prognosis procedures such as the Nottingham Grading System for breast cancer incorporate a criterion based on cell morphology known as cytonuclear atypia. Therefore, algorithms able to precisely extract the cell nuclei are a requirement in computer-aided diagnosis applications.