Automatic breast cancer grading of histopathological images

Jean Romain Dalle, Wee Kheng Leow, Daniel Racoceanu, Adina Eunice Tutac, Thomas C. Putti

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

76 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
EditorialIEEE Computer Society
Páginas3052-3055
Número de páginas4
ISBN (versión impresa)9781424418152
DOI
EstadoPublicada - 2008
Publicado de forma externa
Evento30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canadá
Duración: 20 ago. 200825 ago. 2008

Serie de la publicación

NombreProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Conferencia

Conferencia30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
País/TerritorioCanadá
CiudadVancouver, BC
Período20/08/0825/08/08

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