Joint Multiple Fully Connected Convolutional Neural Network with Extreme Learning Machine for Hepatocellular Carcinoma Nuclei Grading

Accurate cell grading on cancerous tissue pathological image is of great importance in medical diagnosis and treatment. This paper proposes a joint multiple fully connected convolutional neural network with extreme learning machine (MFC-CNN-ELM) architecture for hepatocellular carcinoma (HCC) nuclei grading. First, in preprocessing stage, each grayscale image patch with the fixed size is obtained using center-proliferation segmentation (CPS) method and the corresponding labels are marked under the guidance of three pathologists.

Source: Computers in Biology and Medicine - March 21, 2017 Category: Bioinformatics Authors: Siqi Li, Huiyan Jiang, Wenbo Pang Source Type: research