Cirrhosis of liver may cause structural distortion of entire liver by fibrosis and parenchymal nodules, in which the image findings in MR/CT images can be interpreted by shape, texture, volume, elasticity analysis and so on. To ease the workload of radiologists from interpretation of the numerous medical images, an online Computer-aided diagnosis (CAD) system on liver has been developing for quantifying the diagnosis of fibrosis. Several technologies regarding image processing and pattern recognition are introduced in this paper, including Shape, Texture, Volume, Elasticity Analysis and Edge computing with FPGA acceleration. The results by the novel methods on the non-invasive assessment of liver fibrosis as well as the role of our CAD scheme to replace traditional liver biopsy will be presented and discussed.
Computer aided diagnosis (CAD) system has been proven to be useful in clinical routine. However, different kinds of software installed in different machine limits the widely usage of CAD by doctors. We transfer our previous CAD system on liver disease into a web based program to enable users to diagnose potential hepatic abnormalities through internet, by using XOJO platform which is easy to make web application under BASIC programming language and provide virtual server function when in running mode. There methods for tumor classification are investigated on web programming: GLCM-ANN, Restricted Boltzmann Machine (RBM) w/o edge computing. The result shows that deep learning has better performance to conventional ANN, but the large weight matrix is a big burden of web response speed without edge computing. Our CAD system can be easily open on different OS and any location with network connection. Such convenience makes diagnosis less time consuming while significantly collecting datasets via internet from different hospitals or even patient him/herself.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.