Name
Abstract | ||
|---|---|---|
In this work, classification of cellular structures in the high resolutional histopathological images and the discrimination of cellular and non-cellular structures have been investigated. The cell classification is a very exhaustive and time-consuming process for pathologists in medicine. The development of digital imaging in histopathology has enabled the generation of reasonable and effective solutions to this problem. Morever, the classification of digital data provides easier analysis of cell structures in histopathological data. Convolutional neural network (CNN), constituting the main theme of this study, has been proposed with different spatial window sizes in RGB color spaces. Hence, to improve the accuracies of classification results obtained by supervised learning methods, spatial information must also be considered. So, spatial dependencies of cell and non-cell pixels can be evaluated within different pixel neighborhoods in this study. In the experiments, the CNN performs superior than other pixel classification methods including SVM and k-Nearest Neighbour (k-NN). At the end of this paper, several possible directions for future research are also proposed. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/IPTA.2014.7001976 | Image Processing Theory, Tools and Applications |
Keywords | Field | DocType |
image classification,image colour analysis,image resolution,learning (artificial intelligence),neural nets,RGB color spaces,SVM,cellular structures classification,convolutional neural network,histopathological image classification,k-NN,k-nearest neighbour,pixel classification method,supervised learning method,Histopathological images,classification,convolutional neural networks,image processing | Spatial analysis,Computer vision,Pattern recognition,Convolutional neural network,Computer science,Support vector machine,Supervised learning,Pixel,Digital imaging,Artificial intelligence,RGB color model,Artificial neural network | Conference |
ISSN | Citations | PageRank |
2154-512X | 6 | 0.46 |
References | Authors | |
13 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hatipoglu, N. | 1 | 18 | 1.59 |
| Gökhan Bilgin | 2 | 14 | 5.14 |