Computational assessment of stomach tumor volume from multi-slice computerized tomography images in presence of type 2 cancer.

ABSTRACT: Background: The multi-slice computerized tomography (MSCT) is a medical imaging modality that has been used to determine the size and location of the stomach cancer. Additionally, MSCT is considered the best modality for the staging of gastric cancer. One way to assess the type 2 cancer of stomach is by detecting the pathological structure with an image segmentation approach. The tumor segmentation of MSCT gastric cancer images enables the diagnosis of the disease condition, for a given patient, without using an invasive method as surgical intervention. Methods: This approach consists of three stages. The initial stage, an image enhancement, consists of a method for correcting non homogeneities present in the background of MSCT images. Then, a segmentation stage using a clust

SUBMITTER: Chacon G 

PROVIDER: S-EPMC6234734 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature