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RISS 인기검색어
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- 저자 : Xianfa Wang (검색결과 4 건)
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An Improved Level Set Method to Image Segmentation Based on Saliency
Wang, Yan,Xu, Xianfa Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.1
In order to improve the edge segmentation effect of the level set image segmentation and avoid the influence of the initial contour on the level set method, a saliency level set image segmentation model based on local Renyi entropy is proposed. Firstly, the saliency map of the original image is extracted by using saliency detection algorithm. And the outline of the saliency map can be used to initialize the level set. Secondly, the local energy and edge energy of the image are obtained by using local Renyi entropy and Canny operator respectively. At the same time, new adaptive weight coefficient and boundary indication function are constructed. Finally, the local binary fitting energy model (LBF) as an external energy term is introduced. In this paper, the contrast experiments are implemented in different image database. The robustness of the proposed model for segmentation of images with intensity inhomogeneity and complicated edges is verified.
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An Improved Level Set Method to Image Segmentation Based on Saliency
Yan Wang,Xianfa Xu 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.1
In order to improve the edge segmentation effect of the level set image segmentation and avoid the influence ofthe initial contour on the level set method, a saliency level set image segmentation model based on local Renyientropy is proposed. Firstly, the saliency map of the original image is extracted by using saliency detectionalgorithm. And the outline of the saliency map can be used to initialize the level set. Secondly, the local energyand edge energy of the image are obtained by using local Renyi entropy and Canny operator respectively. Atthe same time, new adaptive weight coefficient and boundary indication function are constructed. Finally, thelocal binary fitting energy model (LBF) as an external energy term is introduced. In this paper, the contrastexperiments are implemented in different image database. The robustness of the proposed model forsegmentation of images with intensity inhomogeneity and complicated edges is verified.
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Risk Factors for Duodenal Stump Leakage after Laparoscopic Gastrectomy for Gastric Cancer
Gu, Lihu,Zhang, Kang,Shen, Zefeng,Wang, Xianfa,Zhu, Hepan,Pan, Junhai,Zhong, Xin,Khadaroo, Parikshit Asutosh,Chen, Ping The Korean Gastric Cancer Association 2020 Journal of gastric cancer Vol. No.
Purpose: Duodenal stump leakage (DSL) is a potentially fatal complication that can occur after gastrectomy, but its underlying risk factors are unclear. This study aimed to investigate the risk factors and management of DSL after laparoscopic radical gastrectomy for gastric cancer (GC). Materials and Methods: Relevant data were collected from several prospective databases to retrospectively analyze the data of GC patients who underwent Billroth II (B-II) or Rouxen-Y (R-Y) reconstruction after laparoscopic gastrectomy from 2 institutions (Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, and HwaMei Hospital, University of Chinese Academy of Sciences). The DSL risk factors were analyzed using univariate and multivariate analysis regression. Results: A total of 810 patients were eligible for our analysis (426 with R-Y, 384 with B-II with Braun). Eleven patients had DSL (1.36%). Body mass index (BMI), elevated preoperative C-reactive protein (CRP) level, and unreinforced duodenal stump were the independent risk factors for DSL. DSL was diagnosed in 2-12 days, with a median of 8 days. Seven patients received conservative treatment, 3 patients received puncture treatment, and only 1 patient required reoperation. All patients recovered successfully after treatment. Conclusions: The risk factors of DSL were BMI ≥24 kg/㎡, elevated preoperative CRP level, and unreinforced duodenal stump. Nonsurgical treatments for DSL are preferred.
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Risk Factors for Duodenal Stump Leakage after Laparoscopic Gastrectomy for Gastric Cancer
Lihu Gu,Kang Zhang,Zefeng Shen,Xianfa Wang,Hepan Zhu,Junhai Pan,Xin Zhong,Parikshit Asutosh Khadaroo,Ping Chen 대한위암학회 2020 Journal of gastric cancer Vol. No.
Purpose: Duodenal stump leakage (DSL) is a potentially fatal complication that can occur after gastrectomy, but its underlying risk factors are unclear. This study aimed to investigate the risk factors and management of DSL after laparoscopic radical gastrectomy for gastric cancer (GC). Materials: and Methods Relevant data were collected from several prospective databases to retrospectively analyze the data of GC patients who underwent Billroth II (B-II) or Roux-en-Y (R-Y) reconstruction after laparoscopic gastrectomy from 2 institutions (Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, and HwaMei Hospital, University of Chinese Academy of Sciences). The DSL risk factors were analyzed using univariate and multivariate analysis regression. Results: A total of 810 patients were eligible for our analysis (426 with R-Y, 384 with B-II with Braun). Eleven patients had DSL (1.36%). Body mass index (BMI), elevated preoperative C-reactive protein (CRP) level, and unreinforced duodenal stump were the independent risk factors for DSL. DSL was diagnosed in 2–12 days, with a median of 8 days. Seven patients received conservative treatment, 3 patients received puncture treatment, and only 1 patient required reoperation. All patients recovered successfully after treatment. Conclusions: The risk factors of DSL were BMI ≥24 kg/m2, elevated preoperative CRP level, and unreinforced duodenal stump. Nonsurgical treatments for DSL are preferred.
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