Back to search

Article

Detection and classification of liver cancers using computed tomography images

2022-11-15

Abstract excerpt

<h4>Objectives: </h4> The aim of this research was to develop an appropriate algorithm-routine that can automatically detect and classify liver cancers from the digital images of CT sample based on the texture and morphological features. Method The digital image processing (DIP) provides techniques first for liver image segmentation using semi-automatic technique from the enhanced abdominal CT images and classifi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d8d69ae1-6547-54d8-81be-5a76bc344b44
DOI
10.21203/rs.3.rs-2242020/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Detection and classification of liver cancers using computed tomography imagesDOI 10.21203/rs.3.rs-2242020/v1
Select a neighboring publication to make it the new centre.