A Minimum Spanning Forest Based Hyperspectral Image Classification Method for Cancerous Tissue Detection.
A Minimum Spanning Forest Based Hyperspectral Image Classification Method for Cancerous Tissue Detection.
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DOI：
10.1117/12.2043848
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发表时间：
2014-03-21
期刊：
影响因子：
--
通讯作者：
Fei B
中科院分区：
文献类型：
--
作者：
Pike R;Patton SK;Lu G;Halig LV;Wang D;Chen ZG;Fei B
Hyperspectral imaging is a developing modality for cancer detection. The rich information associated with hyperspectral images allow for the examination between cancerous and healthy tissue. This study focuses on a new method that incorporates support vector machines into a minimum spanning forest algorithm for differentiating cancerous tissue from normal tissue. Spectral information was gathered to test the algorithm. Animal experiments were performed and hyperspectral images were acquired from tumor-bearing mice. In vivo imaging experimental results demonstrate the applicability of the proposed classification method for cancer tissue classification on hyperspectral images.
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使用稀疏矩阵变换和水平集自动分割右心室超声图像。
影响因子：
3.5
作者：
Qin X;Cong Z;Fei B
通讯作者：
Fei B
影响因子：
3.8
作者：
Akbari, Hamed;Fei, Baowei
通讯作者：
Fei, Baowei
影响因子：
3.5
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通讯作者：
Fei B
影响因子：
3.8
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通讯作者：
Fei, Baowei
影响因子：
3.8
作者：
Fei, Baowei;Yang, Xiaofeng;Votaw, John R.
通讯作者：
Votaw, John R.