3.8 Proceedings Paper

A Disease Detection Method of Liver Based on Improved Convolutional Neural Network

Publisher

IEEE
DOI: 10.1109/ISCID.2017.81

Keywords

computed tomography; computer-aid diagnosis; CNN; RF

Funding

  1. opening foundation of the State Key Laboratory for Diagnosis and Treatment of Infectious Disease, the First Affiliated Hospital of Medical College, Zhejiang University [2014KF06]
  2. National science and technology major projects, a new generation of broadband wireless mobile communication network [2013ZX03005013]

Ask authors/readers for more resources

The computer-aid diagnosis of liver disease plays an important role in timely detection and treatment of liver. Convolutional Neural Network (CNN) get problems of low accuracy. This paper introduces a method based on improved CNN and Random Forest(RF), which has a higher accuracy than traditional CNN.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available