K-Nearest Unrepeatable Cell Graph Model of Histopathological Tissue Image
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
One of the most important components in the histopathological tissue images is the cell nuclei. Features such as the number, morphological properties and location of the cell nuclei offer useful information for histopathological analysis. Cell-graph models are constructed using location information of cell nuclei and important distinctive information can be obtained from the features of the models. The models are generally formed according to the distance between the cell nuclei. However, the distance between the cell nuclei is affected by various factors during obtaining tissue image and shows variety. In this study, using one-way neighborhood relationship of the nuclei with each other is proposed for the construction of the cell-graph models of histopathological images. The proposed approach has been tested on 20 healthy and 20 necrotic liver tissue images. The results show that graph models constructed by the neighborhood relationship, have more distinctive characteristics than distance-based graph models.
Açıklama
23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEY
Anahtar Kelimeler
Histopathological image analysis, Computer-aided diagnosis, Cell graph modeling, Tissue modeling
Kaynak
2015 23rd Signal Processing and Communications Applications Conference (Siu)
WoS Q Değeri
N/A
