An Autocontouring Method for the Kidneys Using an Adaptive Weighted Multikernel Support Vector Machines
In radiotherapy, the location of the target area is very important. If the target area is small, the treatment is not complete, so the location of the target area is generally larger than the actual cancerous site. However, the damage of radiotherapy to normal cells is the same. In order to reduce t...
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Online Access: | http://dx.doi.org/10.1155/2021/1885512 |
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doaj-1d7fa03cdc38488d99b9a52bbb393ab72021-07-26T00:33:56ZengHindawi LimitedScientific Programming1875-919X2021-01-01202110.1155/2021/1885512An Autocontouring Method for the Kidneys Using an Adaptive Weighted Multikernel Support Vector MachinesYi Gu0Bo Li1School of Artificial Intelligence and Computer ScienceSchool of Artificial Intelligence and Computer ScienceIn radiotherapy, the location of the target area is very important. If the target area is small, the treatment is not complete, so the location of the target area is generally larger than the actual cancerous site. However, the damage of radiotherapy to normal cells is the same. In order to reduce the damage to the body as much as possible, we need to complete the most suitable target area. This paper uses an adaptive weighted multikernel support vector machine, which solves the parameter problem in the traditional multikernel support vector machine. The new AW-SVM can adjust the kernel weights adaptively. We completed our experiment on the abdominal MR dataset, using DSI as an evaluation indicator, and the experimental results showed its excellent classification performance. The minimum value of DSI in all results is 0.9654 (more than 0.7 is acceptable).http://dx.doi.org/10.1155/2021/1885512 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yi Gu Bo Li |
spellingShingle |
Yi Gu Bo Li An Autocontouring Method for the Kidneys Using an Adaptive Weighted Multikernel Support Vector Machines Scientific Programming |
author_facet |
Yi Gu Bo Li |
author_sort |
Yi Gu |
title |
An Autocontouring Method for the Kidneys Using an Adaptive Weighted Multikernel Support Vector Machines |
title_short |
An Autocontouring Method for the Kidneys Using an Adaptive Weighted Multikernel Support Vector Machines |
title_full |
An Autocontouring Method for the Kidneys Using an Adaptive Weighted Multikernel Support Vector Machines |
title_fullStr |
An Autocontouring Method for the Kidneys Using an Adaptive Weighted Multikernel Support Vector Machines |
title_full_unstemmed |
An Autocontouring Method for the Kidneys Using an Adaptive Weighted Multikernel Support Vector Machines |
title_sort |
autocontouring method for the kidneys using an adaptive weighted multikernel support vector machines |
publisher |
Hindawi Limited |
series |
Scientific Programming |
issn |
1875-919X |
publishDate |
2021-01-01 |
description |
In radiotherapy, the location of the target area is very important. If the target area is small, the treatment is not complete, so the location of the target area is generally larger than the actual cancerous site. However, the damage of radiotherapy to normal cells is the same. In order to reduce the damage to the body as much as possible, we need to complete the most suitable target area. This paper uses an adaptive weighted multikernel support vector machine, which solves the parameter problem in the traditional multikernel support vector machine. The new AW-SVM can adjust the kernel weights adaptively. We completed our experiment on the abdominal MR dataset, using DSI as an evaluation indicator, and the experimental results showed its excellent classification performance. The minimum value of DSI in all results is 0.9654 (more than 0.7 is acceptable). |
url |
http://dx.doi.org/10.1155/2021/1885512 |
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