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Liver cancer is one of the most dangerous diseases and is one of causes leading of death. The application of science and technology in the diagnosis and identification of cancerous tissues of the liver plays a very important role. This assists the doctor in planning and treating the patient. In this paper, we study the application of convolutional neural networks (CNN) in the determination of cancerous tissues of the human liver. The training are performed on a 3D CT image dataset of the body segment containing the liver. We then run the results into a train model, on which experiments are performed with different test samples.

Home Page: https://github.com/chautruonglong/Applying-CNN-in-determining-cancer-cells-from-CT-scans

cnn convolutional-neural-networks segmentation liver-segmentation liver-cancer cancer-cells ct-images

applying-cnn-in-determining-cancer-cells-from-ct-scans's Introduction

PAPER: APPLYING CNN IN DETERMINING CANCER CELLS FROM CT SCANS

WRITTEN BY Chau Truong Long

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