Cell Nuclei Segmentation and classification Using Feed Forward Neural Networks
نویسندگان
چکیده
The main objective of this project is cell nuclei segmentation and classification. In pre-processing convert the gray scale and apply the segmentation. In segmentation this project proposes the graph cut algorithm. After segmentation the features are extracts such as texture and etc. In classification this project used the feed forward neural network. The proposed method is very efficient. The feed forward neural network is very efficient for classification.
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