2018
DOI: 10.12688/f1000research.14491.1
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Computational assessment of stomach tumor volume from multi-slice computerized tomography images in presence of type 2 cancer

Abstract: The multi-slice computerized tomography (MSCT) is a medical Background: 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 … Show more

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Cited by 5 publications
(2 citation statements)
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“…With greater dense resolution, it is possible to recognize the single gastric wall layers as well as to estimate the invasive depth of the neoplasm on CT images ( 2 ), which is essential for tumor staging ( 3 ) and edge delineation. As a clear, accurate boundary is also of great importance in volume assessment ( 4 ), further radiomics feature analysis ( 5 ) and image-guided navigation ( 6 ), the precise CT-based tumor segmentation is quite desirable. However, the outlining process used to be completed manually on multi-slice images, which is quite subjective, labor-consuming and time-costing.…”
Section: Introductionmentioning
confidence: 99%
“…With greater dense resolution, it is possible to recognize the single gastric wall layers as well as to estimate the invasive depth of the neoplasm on CT images ( 2 ), which is essential for tumor staging ( 3 ) and edge delineation. As a clear, accurate boundary is also of great importance in volume assessment ( 4 ), further radiomics feature analysis ( 5 ) and image-guided navigation ( 6 ), the precise CT-based tumor segmentation is quite desirable. However, the outlining process used to be completed manually on multi-slice images, which is quite subjective, labor-consuming and time-costing.…”
Section: Introductionmentioning
confidence: 99%
“…CT examination has become an indispensable way in the medical field of lung diagnosis [5]. With the continuous update of the 3D cone-beam reconstruction algorithm, the MC algorithm proposed by Chacón et al [6] is relatively prominent, although it can only get good results when the reconstruction cone angle is small. However, it has the advantages of simple operation, effective method, and fast effect, so the MC algorithm has always been the main algorithm used in actual projects.…”
Section: Introductionmentioning
confidence: 99%