Objective： To analyze the CT findings of renal masses and to investigate the value of CT imaging in qualitative diagnosis of these diseases. Methods： Twenty-eight cases of renal masses, proven surgically and patholo...Objective： To analyze the CT findings of renal masses and to investigate the value of CT imaging in qualitative diagnosis of these diseases. Methods： Twenty-eight cases of renal masses, proven surgically and pathologically, were retrospectively analyzed. Pre- and post-contrast CT scans were performed in all cases. Results： Twenty-one of 28 cases （75%） were diagnosed as having malignant tumors with 16 cases of renal cell carcinoma （RCC） showing as irregular-shaped low density soft tissue mass with no or slight enhancement. Ten of 21 cases were diagnosed as having carcinoma of the renal pelvis showing as soft tissue mass in renal pelvis with no or slight enhancement. Three of 21 cases were diagnosed as having nephroblastoma （Wilms＇ tumor） showing as larger irregular lobucated mass with no enhancement. Three of 28 cases （11%） of benign tumors were diagnosed as having angiomyolipoma （AML）. Two cases showed a mixed density mass while another case showed iso-density mass. The soft tissue part of the tumor showed enhancement while the area of fat didn＇t show any enhancement of the contrast medium. Four of 28 （14%） included 3 cases of renal cysts showing as classic cystic lesions with clear-margin. No enhancement was found. In the remaining one case of renal abscess, CT showed a mixed density mass of soft tissue and cyst with slight enhancement of soft tissue part while no enhancement of cystic part. Conclusion： Pre-contrast and post-contrast CT scans in combination with history play an important role in the diagnosis of renal展开更多
This paper studies the correlation between Traditional Chinese Medicine(TCM)Constitution discrimination and physical examination index based on BPNN algorithm.253cases of routine urine test were used to build a linkag...This paper studies the correlation between Traditional Chinese Medicine(TCM)Constitution discrimination and physical examination index based on BPNN algorithm.253cases of routine urine test were used to build a linkage model between TCM Constitution and physical indicators via BPNN algorithm.According to the test,the correct rate of learning and test group are60%and40%,respectively.A strong correlation was found between TCM Constitution and physical examination indexes.By applying cutting-edge knowledge and technologies,the development and modernization process of TCM can be greatly promoted.展开更多
Proposed a novel approach to detect changes in the product quality of process systems by using negative selection algorithms inspired by the natural immune system. The most important input variables of the process sys...Proposed a novel approach to detect changes in the product quality of process systems by using negative selection algorithms inspired by the natural immune system. The most important input variables of the process system was represented by artificial immune cells, from which product quality was inferred, instead of directly using the prod- uct quality which was hard to measure online, e.g. the ash content of coal flotation con- centrate. The experiment was presented and then the result was analyzed.展开更多
A new method of the moving objects detection using the enhanced fish-eye lens and the intersecting cortical model （ICM） algorithm is proposed. The improved fish-eye lens is designed through controlling the entrance ...A new method of the moving objects detection using the enhanced fish-eye lens and the intersecting cortical model （ICM） algorithm is proposed. The improved fish-eye lens is designed through controlling the entrance pupils of the lens. This lens has an ultra field of view about 183 degrees, and can image an ellipse picture on the 4 ： 3 rectangular CCD surface, which increases the CCD utilization and the image resolution. The ICM is a model based on pulse coupled neural network（PCNN） which is espeeially designed for image processing. It is derived from several visual cortex models and is basically the intersection of these models. The theoretical foundation of the ICM is given. An improved ICM algorithm in which some parameters are modified is used to detect moving objects specially. The experiment indicated that moving objects can be detected reliably and efficiently using ICM algorithm from the elliptical fish-eye image. It can be used in the field of traffic monitoring and other security domains.展开更多
文摘Objective： To analyze the CT findings of renal masses and to investigate the value of CT imaging in qualitative diagnosis of these diseases. Methods： Twenty-eight cases of renal masses, proven surgically and pathologically, were retrospectively analyzed. Pre- and post-contrast CT scans were performed in all cases. Results： Twenty-one of 28 cases （75%） were diagnosed as having malignant tumors with 16 cases of renal cell carcinoma （RCC） showing as irregular-shaped low density soft tissue mass with no or slight enhancement. Ten of 21 cases were diagnosed as having carcinoma of the renal pelvis showing as soft tissue mass in renal pelvis with no or slight enhancement. Three of 21 cases were diagnosed as having nephroblastoma （Wilms＇ tumor） showing as larger irregular lobucated mass with no enhancement. Three of 28 cases （11%） of benign tumors were diagnosed as having angiomyolipoma （AML）. Two cases showed a mixed density mass while another case showed iso-density mass. The soft tissue part of the tumor showed enhancement while the area of fat didn＇t show any enhancement of the contrast medium. Four of 28 （14%） included 3 cases of renal cysts showing as classic cystic lesions with clear-margin. No enhancement was found. In the remaining one case of renal abscess, CT showed a mixed density mass of soft tissue and cyst with slight enhancement of soft tissue part while no enhancement of cystic part. Conclusion： Pre-contrast and post-contrast CT scans in combination with history play an important role in the diagnosis of renal
基金funding support from the Young Talents for research on Traditional Chinese Medicine Science and Technology in Sichuan (No.2016Q065)
文摘This paper studies the correlation between Traditional Chinese Medicine(TCM)Constitution discrimination and physical examination index based on BPNN algorithm.253cases of routine urine test were used to build a linkage model between TCM Constitution and physical indicators via BPNN algorithm.According to the test,the correct rate of learning and test group are60%and40%,respectively.A strong correlation was found between TCM Constitution and physical examination indexes.By applying cutting-edge knowledge and technologies,the development and modernization process of TCM can be greatly promoted.
文摘Proposed a novel approach to detect changes in the product quality of process systems by using negative selection algorithms inspired by the natural immune system. The most important input variables of the process system was represented by artificial immune cells, from which product quality was inferred, instead of directly using the prod- uct quality which was hard to measure online, e.g. the ash content of coal flotation con- centrate. The experiment was presented and then the result was analyzed.
文摘A new method of the moving objects detection using the enhanced fish-eye lens and the intersecting cortical model （ICM） algorithm is proposed. The improved fish-eye lens is designed through controlling the entrance pupils of the lens. This lens has an ultra field of view about 183 degrees, and can image an ellipse picture on the 4 ： 3 rectangular CCD surface, which increases the CCD utilization and the image resolution. The ICM is a model based on pulse coupled neural network（PCNN） which is espeeially designed for image processing. It is derived from several visual cortex models and is basically the intersection of these models. The theoretical foundation of the ICM is given. An improved ICM algorithm in which some parameters are modified is used to detect moving objects specially. The experiment indicated that moving objects can be detected reliably and efficiently using ICM algorithm from the elliptical fish-eye image. It can be used in the field of traffic monitoring and other security domains.
