Breast Cancer Image Classification based on CNN and Bit-Plane slicing
| Autor: | Zeduo Yuan, Yongchang Chen, Xiongyong Zhu, Xuming Lu, Guoming Chen, Wanyi Li |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Contextual image classification
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition medicine.disease Slicing ComputingMethodologies_PATTERNRECOGNITION Breast cancer Image texture Computer Science::Computer Vision and Pattern Recognition medicine Artificial intelligence Bit plane slicing business Classifier (UML) |
| Zdroj: | 2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE). |
| DOI: | 10.1109/icmipe47306.2019.9098216 |
| Popis: | In this paper we propose a CNN classifier base on image bit-plane slicing. The purpose is to improve recognition accuracy when we apply it to breast cancer images classification. Each texture image is decomposed into eight bit-plane images. Different bit-planes provide different levels and detail of image texture feature. At the same time, we have also tested feature classification performance by each bit-plane respectively and the fusion of all bit-planes. CNN classifier is used for classification and recognition. The simulation results on the breast cancer image datasets show that the proposed method on some bit-plane can greatly improve recognition rate and promote classification performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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