Skin lesion recognition is an important challenge in the medical field.In this paper,we have implemented an intelligent classification system based on convolutional neural network.First of all,this system can classify...Skin lesion recognition is an important challenge in the medical field.In this paper,we have implemented an intelligent classification system based on convolutional neural network.First of all,this system can classify whether the input image is a dermascopic image with an accuracy of 99%.And then diagnose the dermoscopic image and the non-skin mirror image separately.Due to the limitation of the data,we can only realize the recognition of vitiligo by non-skin mirror.We propose a vitiligo recognition based on the probability average of three structurally identical CNN models.The method is more efficient and robust than the traditional RGB color space-based image recognition method.For the dermoscopic classification model,we were able to classify 7 skin lesions,use weighted optimization to overcome the unbalanced data set,and greatly improve the sensitivity of the model by means of model fusion.The optimization and expansion of the system depend on the increase of database.展开更多
The panel data of 31 provinces in China from 2014 to 2016 were subjected to production concentration ratio and scale comparative advantage index analysis combining explicit supply and implicit demand. It was found tha...The panel data of 31 provinces in China from 2014 to 2016 were subjected to production concentration ratio and scale comparative advantage index analysis combining explicit supply and implicit demand. It was found that the explicit supply of green feed production and the production areas of beef cattle and mutton sheep related to implicit demand of green feed production terminal are relatively concentrated and stable. The area of green feed production with scale comparative advantage accounts for a large proportion. The number of advantageous areas was less than that of beef cattle and mutton sheep. There were fewer matching advantageous areas between the explicit green feed supply and the implicit cattle and sheep consumption across China. According to the matching between explicit green feed supply and implicit beef and sheep consumption,China’s green feed production can be divided into four types. Therefore,based on grasping the current layout of green feed and beef cattle and mutton sheep production,according to the comparative advantages of each region,the government should make reasonable arrangements according to local conditions and adopt different development strategies for different regions.展开更多
基金This work is supported by 2018 Sugon Intelligent-Factory on Advanced Computing Devices(No.MIIT2018-265-137).
文摘Skin lesion recognition is an important challenge in the medical field.In this paper,we have implemented an intelligent classification system based on convolutional neural network.First of all,this system can classify whether the input image is a dermascopic image with an accuracy of 99%.And then diagnose the dermoscopic image and the non-skin mirror image separately.Due to the limitation of the data,we can only realize the recognition of vitiligo by non-skin mirror.We propose a vitiligo recognition based on the probability average of three structurally identical CNN models.The method is more efficient and robust than the traditional RGB color space-based image recognition method.For the dermoscopic classification model,we were able to classify 7 skin lesions,use weighted optimization to overcome the unbalanced data set,and greatly improve the sensitivity of the model by means of model fusion.The optimization and expansion of the system depend on the increase of database.
基金Supported by Youth Project of National Social Science Foundation of China(16CGL038)Key Scientific Research Project for Colleges and Universities in Henan Province(18A630071)Soft Science Project of Henan Provincial Department of Science and Technology(182400410544)
文摘The panel data of 31 provinces in China from 2014 to 2016 were subjected to production concentration ratio and scale comparative advantage index analysis combining explicit supply and implicit demand. It was found that the explicit supply of green feed production and the production areas of beef cattle and mutton sheep related to implicit demand of green feed production terminal are relatively concentrated and stable. The area of green feed production with scale comparative advantage accounts for a large proportion. The number of advantageous areas was less than that of beef cattle and mutton sheep. There were fewer matching advantageous areas between the explicit green feed supply and the implicit cattle and sheep consumption across China. According to the matching between explicit green feed supply and implicit beef and sheep consumption,China’s green feed production can be divided into four types. Therefore,based on grasping the current layout of green feed and beef cattle and mutton sheep production,according to the comparative advantages of each region,the government should make reasonable arrangements according to local conditions and adopt different development strategies for different regions.
