This study explores an automated framework to assist the recognition of hemorrhage traces and bleeding lesions in video streams of small bowel capsule endoscopy (SBCE). The proposed methodology aims to achieve fast im...This study explores an automated framework to assist the recognition of hemorrhage traces and bleeding lesions in video streams of small bowel capsule endoscopy (SBCE). The proposed methodology aims to achieve fast image control (<10 minutes), save valuable time of the physicians, and enable high performance diagnosis. A specialized elimination algorithm excludes all identical consecutive frames by utilizing the difference of gray levels in pixel luminance. An image filtering algorithm is proposed based on an experimentally calculated bleeding index and blood-color chart, which inspects all remaining frames of the footage and identifies pixels that reflect active or potential hemorrhage in color. The bleeding index and blood-color chart are estimated of the chromatic thresholds in RGB and HSV color spaces, and have been extracted after experimenting with more than 3200 training images, derived from 99 videos of a pool of 138 patients. The dataset has been provided by a team of expert gastroenterologist surgeons, who have also evaluated the results. The proposed algorithms are tested on a set of more than 1000 selected frame samples from the entire 39 testing videos, to a prevalence of 50% pathologic frames (balanced dataset). The frame elimination of identical and consecutive frames achieved a reduction of 36% of total frames. The best statistical performance for diagnosis of positive pathological frames from a video stream is achieved by utilizing masks in the HSV color model, with sensitivity up to 99%, precision 94.41% to a prevalence of 50%, accuracy up to 96.1%, FNR 1%, FPR 6.8%. The estimated blood-color chart will be clinically validated and used in feature extraction schemes supporting machine learning ML algorithms to improve the localization potential.展开更多
Wireless capsule endoscopes (WCEs) have been used widely to detect abnormalities inside regions of the small intestine that are not accessible when using traditional endoscopy techniques. However, an experienced clini...Wireless capsule endoscopes (WCEs) have been used widely to detect abnormalities inside regions of the small intestine that are not accessible when using traditional endoscopy techniques. However, an experienced clinician must spend an average of 2 hours to view and analyze the approximately 60,000 images produced during one examination. Therefore, developing a computeraided system for processing WCE images is crucial. This paper proposes a novel method used for detecting bleeding and ulcers in WCE images. This approach involves using color features to determine the status of the small intestine. The experimental results revealed that the proposed scheme is promising in detecting bleeding and ulcer regions.展开更多
Aiming at the prior medical knowledge that hepatic ascites only occurs in the severe period of liver cirrhosis, and the severe rupture of the liver capsule curve, when ascites occurs visually, can easily lead to the w...Aiming at the prior medical knowledge that hepatic ascites only occurs in the severe period of liver cirrhosis, and the severe rupture of the liver capsule curve, when ascites occurs visually, can easily lead to the wrong location of the liver capsule, a transposed grayscale statistical threshold method is proposed to solve the problem. Realize the identification of liver ascites. By analyzing the visual characteristics of the liver image, the gray value of the upper half of the ultrasound image is counted column by column from a mathematical point of view, the gray distribution curve is drawn, and the relevant threshold is set for corresponding judgment. At the same time, the gray value above the ascites detection boundary is set to zero. The ablation experiment proved that the ascites detection method and post-processing operation proposed in this paper provide effective support for the precise positioning of the liver capsule curve, quantitative analysis and diagnosis of liver cirrhosis in the later stage. The Hessian matrix is sensitive to linear structure to achieve image enhancement. In view of the low accuracy of the existing liver envelope curve detection method and the incomplete quantitative evaluation of liver cirrhosis, it is proposed to use drift iteration under the synergistic effect of multiple filters. A search algorithm extracts the liver capsule.展开更多
Objective: To observe the therapeutic effects of Jingyuankang capsules (精元康胶囊) for leukopenia in AIDS patients. Methods: In this randomized double-blind trial, 58 patients orally took Jingyuankang capsule, analog...Objective: To observe the therapeutic effects of Jingyuankang capsules (精元康胶囊) for leukopenia in AIDS patients. Methods: In this randomized double-blind trial, 58 patients orally took Jingyuankang capsule, analog Leucogen tablet and the HAART (highly active anti-retroviral therapy) drugs, and the other 58 patients took Leucogen tablet, analog Jingyuankang capsule and the HAART drugs all for 6 months, during which the peripheral hemogram was periodically examined to observe the therapeutic effects of Jingyuankang capsule for leukopenia of the AIDS patients. Results: With good therapeutic effect for leukopenia of the AIDS patients, Jingyuankang capsule can enhance leukocyte level as effective as Leucogen tablet in treating grade Ⅰ and grade Ⅱ leukopenia, and more effectively than Leucogen tablet in treating grade Ⅲ leukopenia. No toxic side-effects and adverse reactions were found during the treatment and in the follow-up visit. Conclusion: Jingyuankang capsule can effectively treat leukopenia of the AIDS patients.展开更多
A traditional Chinese medicinal capsule capable of curing HIV/AIDS has been put under clinical test with the approval of the State Food and Drug Administration.
【目的】评价艾可清胶囊联合高效抗病毒逆转录疗法(highly active antiretroviral therapy,HAART)治疗艾滋病(AIDS)患者的有效性和安全性。【方法】将18例患者随机分为2组,每组9例。治疗组在HAART治疗的同时加用中药艾可清胶囊,对照组...【目的】评价艾可清胶囊联合高效抗病毒逆转录疗法(highly active antiretroviral therapy,HAART)治疗艾滋病(AIDS)患者的有效性和安全性。【方法】将18例患者随机分为2组,每组9例。治疗组在HAART治疗的同时加用中药艾可清胶囊,对照组只给予HAART治疗。分别在治疗前、治疗3个月和治疗6个月检测T淋巴细胞亚群,记录症状体征积分(积分1)和症状舌脉积分(积分2),观察体质量和生存质量(卡洛夫斯基积分,Karnovsky Score),检测血常规、肝功能、肾功能及血清淀粉酶以评价艾可清胶囊的安全性。【结果】两组T淋巴细胞亚群各项指标在治疗后均有所改善(P<0.05或P<0.01),但各评价点两组间比较无显著性差异(P>0.05)。治疗组治疗后各评价点证候、体征积分均较对照组下降(P<0.05),卡洛夫斯基积分及体质量较对照组增加(P<0.05或P<0.01)。加用艾可清胶囊未见血常规、肝肾功能及血清淀粉酶异常变化。【结论】艾可清胶囊可有效、安全地缓解因HAART引起的不良反应。展开更多
文摘This study explores an automated framework to assist the recognition of hemorrhage traces and bleeding lesions in video streams of small bowel capsule endoscopy (SBCE). The proposed methodology aims to achieve fast image control (<10 minutes), save valuable time of the physicians, and enable high performance diagnosis. A specialized elimination algorithm excludes all identical consecutive frames by utilizing the difference of gray levels in pixel luminance. An image filtering algorithm is proposed based on an experimentally calculated bleeding index and blood-color chart, which inspects all remaining frames of the footage and identifies pixels that reflect active or potential hemorrhage in color. The bleeding index and blood-color chart are estimated of the chromatic thresholds in RGB and HSV color spaces, and have been extracted after experimenting with more than 3200 training images, derived from 99 videos of a pool of 138 patients. The dataset has been provided by a team of expert gastroenterologist surgeons, who have also evaluated the results. The proposed algorithms are tested on a set of more than 1000 selected frame samples from the entire 39 testing videos, to a prevalence of 50% pathologic frames (balanced dataset). The frame elimination of identical and consecutive frames achieved a reduction of 36% of total frames. The best statistical performance for diagnosis of positive pathological frames from a video stream is achieved by utilizing masks in the HSV color model, with sensitivity up to 99%, precision 94.41% to a prevalence of 50%, accuracy up to 96.1%, FNR 1%, FPR 6.8%. The estimated blood-color chart will be clinically validated and used in feature extraction schemes supporting machine learning ML algorithms to improve the localization potential.
文摘Wireless capsule endoscopes (WCEs) have been used widely to detect abnormalities inside regions of the small intestine that are not accessible when using traditional endoscopy techniques. However, an experienced clinician must spend an average of 2 hours to view and analyze the approximately 60,000 images produced during one examination. Therefore, developing a computeraided system for processing WCE images is crucial. This paper proposes a novel method used for detecting bleeding and ulcers in WCE images. This approach involves using color features to determine the status of the small intestine. The experimental results revealed that the proposed scheme is promising in detecting bleeding and ulcer regions.
文摘Aiming at the prior medical knowledge that hepatic ascites only occurs in the severe period of liver cirrhosis, and the severe rupture of the liver capsule curve, when ascites occurs visually, can easily lead to the wrong location of the liver capsule, a transposed grayscale statistical threshold method is proposed to solve the problem. Realize the identification of liver ascites. By analyzing the visual characteristics of the liver image, the gray value of the upper half of the ultrasound image is counted column by column from a mathematical point of view, the gray distribution curve is drawn, and the relevant threshold is set for corresponding judgment. At the same time, the gray value above the ascites detection boundary is set to zero. The ablation experiment proved that the ascites detection method and post-processing operation proposed in this paper provide effective support for the precise positioning of the liver capsule curve, quantitative analysis and diagnosis of liver cirrhosis in the later stage. The Hessian matrix is sensitive to linear structure to achieve image enhancement. In view of the low accuracy of the existing liver envelope curve detection method and the incomplete quantitative evaluation of liver cirrhosis, it is proposed to use drift iteration under the synergistic effect of multiple filters. A search algorithm extracts the liver capsule.
基金supported by a grant from the National Key Technology R&D Program of the Ministry of Science and Technology of China (No.2004BA719A09-0203)
文摘Objective: To observe the therapeutic effects of Jingyuankang capsules (精元康胶囊) for leukopenia in AIDS patients. Methods: In this randomized double-blind trial, 58 patients orally took Jingyuankang capsule, analog Leucogen tablet and the HAART (highly active anti-retroviral therapy) drugs, and the other 58 patients took Leucogen tablet, analog Jingyuankang capsule and the HAART drugs all for 6 months, during which the peripheral hemogram was periodically examined to observe the therapeutic effects of Jingyuankang capsule for leukopenia of the AIDS patients. Results: With good therapeutic effect for leukopenia of the AIDS patients, Jingyuankang capsule can enhance leukocyte level as effective as Leucogen tablet in treating grade Ⅰ and grade Ⅱ leukopenia, and more effectively than Leucogen tablet in treating grade Ⅲ leukopenia. No toxic side-effects and adverse reactions were found during the treatment and in the follow-up visit. Conclusion: Jingyuankang capsule can effectively treat leukopenia of the AIDS patients.
文摘A traditional Chinese medicinal capsule capable of curing HIV/AIDS has been put under clinical test with the approval of the State Food and Drug Administration.
文摘【目的】评价艾可清胶囊联合高效抗病毒逆转录疗法(highly active antiretroviral therapy,HAART)治疗艾滋病(AIDS)患者的有效性和安全性。【方法】将18例患者随机分为2组,每组9例。治疗组在HAART治疗的同时加用中药艾可清胶囊,对照组只给予HAART治疗。分别在治疗前、治疗3个月和治疗6个月检测T淋巴细胞亚群,记录症状体征积分(积分1)和症状舌脉积分(积分2),观察体质量和生存质量(卡洛夫斯基积分,Karnovsky Score),检测血常规、肝功能、肾功能及血清淀粉酶以评价艾可清胶囊的安全性。【结果】两组T淋巴细胞亚群各项指标在治疗后均有所改善(P<0.05或P<0.01),但各评价点两组间比较无显著性差异(P>0.05)。治疗组治疗后各评价点证候、体征积分均较对照组下降(P<0.05),卡洛夫斯基积分及体质量较对照组增加(P<0.05或P<0.01)。加用艾可清胶囊未见血常规、肝肾功能及血清淀粉酶异常变化。【结论】艾可清胶囊可有效、安全地缓解因HAART引起的不良反应。
