Title
Automatic breast cancer grading of histopathological images
Date Issued
01 January 2008
Access level
metadata only access
Resource Type
conference paper
Author(s)
Dalle J.R.
Leow W.K.
Tutac A.E.
Putti T.C.
Centre national de la recherche scientifique
Publisher(s)
IEEE Computer Society
Abstract
Breast cancer grading of histopathological images is the standard clinical practice for the diagnosis and prognosis of breast cancer development. In a large hospital, a pathologist typically handles 100 grading cases per day, each consisting of about 2000 image frames. It is, therefore, a very tedious and time-consuming task. This paper proposes a method for automatic computer grading to assist pathologists by providing second opinions and reducing their workload. It combines the three criteria in the Nottingham scoring system using a multi-resolution approach. To our best knowledge, there is no existing work that provide complete grading according to the Nottingham criteria. © 2008 IEEE.
Start page
3052
End page
3055
Language
English
OCDE Knowledge area
Radiología, Medicina nuclear, Imágenes médicas Ciencias de la computación
Scopus EID
2-s2.0-61849134532
PubMed ID
ISBN of the container
9781424418152
Conference
Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
Sources of information: Directorio de Producción Científica Scopus