Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204355280> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W3204355280 endingPage "1806" @default.
- W3204355280 startingPage "1806" @default.
- W3204355280 abstract "The liver is an essential metabolic organ of the human body, and malignant liver tumors seriously affect and threaten human life. The segmentation algorithm for liver and liver tumors is one of the essential branches of computer-aided diagnosis. This paper proposed a two-stage liver and tumor segmentation algorithm based on the convolutional neural network (CNN). In the present study, we used two stages to segment the liver and tumors: liver localization and tumor segmentation. In the liver localization stage, the network segments the liver region, adopts the encoding-decoding structure and long-distance feature fusion operation, and utilizes the shallow features' spatial information to improve liver identification. In the tumor segmentation stage, based on the liver segmentation results of the first two steps, a CNN model was designed to accurately identify the liver tumors by using the 2D image features and 3D spatial features of the CT image slices. At the same time, we use the attention mechanism to improve the segmentation performance of small liver tumors. The proposed algorithm was tested on the public data set Liver Tumor Segmentation Challenge (LiTS). The Dice coefficient of liver segmentation was 0.967, and the Dice coefficient of tumor segmentation was 0.725. The proposed algorithm can accurately segment the liver and liver tumors in CT images. Compared with other state-of-the-art algorithms, the segmentation results of the proposed algorithm rank the highest in the Dice coefficient." @default.
- W3204355280 created "2021-10-11" @default.
- W3204355280 creator A5019858998 @default.
- W3204355280 creator A5048512608 @default.
- W3204355280 creator A5063568458 @default.
- W3204355280 date "2021-09-29" @default.
- W3204355280 modified "2023-10-16" @default.
- W3204355280 title "Two-Stage Liver and Tumor Segmentation Algorithm Based on Convolutional Neural Network" @default.
- W3204355280 doi "https://doi.org/10.3390/diagnostics11101806" @default.
- W3204355280 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8534656" @default.
- W3204355280 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34679504" @default.
- W3204355280 hasPublicationYear "2021" @default.
- W3204355280 type Work @default.
- W3204355280 sameAs 3204355280 @default.
- W3204355280 citedByCount "12" @default.
- W3204355280 countsByYear W32043552802021 @default.
- W3204355280 countsByYear W32043552802022 @default.
- W3204355280 countsByYear W32043552802023 @default.
- W3204355280 crossrefType "journal-article" @default.
- W3204355280 hasAuthorship W3204355280A5019858998 @default.
- W3204355280 hasAuthorship W3204355280A5048512608 @default.
- W3204355280 hasAuthorship W3204355280A5063568458 @default.
- W3204355280 hasBestOaLocation W32043552801 @default.
- W3204355280 hasConcept C11413529 @default.
- W3204355280 hasConcept C124504099 @default.
- W3204355280 hasConcept C126322002 @default.
- W3204355280 hasConcept C138885662 @default.
- W3204355280 hasConcept C153180895 @default.
- W3204355280 hasConcept C154945302 @default.
- W3204355280 hasConcept C163892561 @default.
- W3204355280 hasConcept C22029948 @default.
- W3204355280 hasConcept C2524010 @default.
- W3204355280 hasConcept C2776401178 @default.
- W3204355280 hasConcept C2776964913 @default.
- W3204355280 hasConcept C2778019345 @default.
- W3204355280 hasConcept C33923547 @default.
- W3204355280 hasConcept C41008148 @default.
- W3204355280 hasConcept C41895202 @default.
- W3204355280 hasConcept C65885262 @default.
- W3204355280 hasConcept C71924100 @default.
- W3204355280 hasConcept C81363708 @default.
- W3204355280 hasConcept C89600930 @default.
- W3204355280 hasConceptScore W3204355280C11413529 @default.
- W3204355280 hasConceptScore W3204355280C124504099 @default.
- W3204355280 hasConceptScore W3204355280C126322002 @default.
- W3204355280 hasConceptScore W3204355280C138885662 @default.
- W3204355280 hasConceptScore W3204355280C153180895 @default.
- W3204355280 hasConceptScore W3204355280C154945302 @default.
- W3204355280 hasConceptScore W3204355280C163892561 @default.
- W3204355280 hasConceptScore W3204355280C22029948 @default.
- W3204355280 hasConceptScore W3204355280C2524010 @default.
- W3204355280 hasConceptScore W3204355280C2776401178 @default.
- W3204355280 hasConceptScore W3204355280C2776964913 @default.
- W3204355280 hasConceptScore W3204355280C2778019345 @default.
- W3204355280 hasConceptScore W3204355280C33923547 @default.
- W3204355280 hasConceptScore W3204355280C41008148 @default.
- W3204355280 hasConceptScore W3204355280C41895202 @default.
- W3204355280 hasConceptScore W3204355280C65885262 @default.
- W3204355280 hasConceptScore W3204355280C71924100 @default.
- W3204355280 hasConceptScore W3204355280C81363708 @default.
- W3204355280 hasConceptScore W3204355280C89600930 @default.
- W3204355280 hasFunder F4320321001 @default.
- W3204355280 hasFunder F4320335787 @default.
- W3204355280 hasIssue "10" @default.
- W3204355280 hasLocation W32043552801 @default.
- W3204355280 hasLocation W32043552802 @default.
- W3204355280 hasLocation W32043552803 @default.
- W3204355280 hasLocation W32043552804 @default.
- W3204355280 hasOpenAccess W3204355280 @default.
- W3204355280 hasPrimaryLocation W32043552801 @default.
- W3204355280 hasRelatedWork W2630229246 @default.
- W3204355280 hasRelatedWork W2897195263 @default.
- W3204355280 hasRelatedWork W2914580601 @default.
- W3204355280 hasRelatedWork W2979336375 @default.
- W3204355280 hasRelatedWork W3116883888 @default.
- W3204355280 hasRelatedWork W3128451644 @default.
- W3204355280 hasRelatedWork W3152950745 @default.
- W3204355280 hasRelatedWork W4200528772 @default.
- W3204355280 hasRelatedWork W4317639945 @default.
- W3204355280 hasRelatedWork W4366552071 @default.
- W3204355280 hasVolume "11" @default.
- W3204355280 isParatext "false" @default.
- W3204355280 isRetracted "false" @default.
- W3204355280 magId "3204355280" @default.
- W3204355280 workType "article" @default.