In order to objectively and reasonably evaluate the actual and potential value of cultivated land,both social and ecological values are introduced into the classification and grading index system of cultivated land ba...In order to objectively and reasonably evaluate the actual and potential value of cultivated land,both social and ecological values are introduced into the classification and grading index system of cultivated land based on the viewpoint of sustainable development,after considering the natural and economic values of cultivated land.Index system construction of the sustainable utilization of cultivated land should follow the principles of economic viability,social acceptability,and ecological protection.Classification of cultivated land should take into account the soil fertility of cultivated land.Then,grading of cultivated land is carried out from the practical productivity(or potential productivity)of cultivated land.According to the existing classification index system of cultivated land,the soil,natural and environmental factors in plains,mountains and hills are mainly modified in the classification index system of cultivated land.And index systems for the cultivated land classification in plains,mountains and hills are set up.The grading index system of cultivated land is established based on the economic viability(economic value),social acceptability(social value)and protection of cultivated land(ecological value).Quantitative expression of cultivated land grading index is also carried out.展开更多
Cataracts are the leading cause of visual impairment and blindness globally.Over the years,researchers have achieved significant progress in developing state-of-the-art machine learning techniques for automatic catara...Cataracts are the leading cause of visual impairment and blindness globally.Over the years,researchers have achieved significant progress in developing state-of-the-art machine learning techniques for automatic cataract classification and grading,aiming to prevent cataracts early and improve clinicians′diagnosis efficiency.This survey provides a comprehensive survey of recent advances in machine learning techniques for cataract classification/grading based on ophthalmic images.We summarize existing literature from two research directions:conventional machine learning methods and deep learning methods.This survey also provides insights into existing works of both merits and limitations.In addition,we discuss several challenges of automatic cataract classification/grading based on machine learning techniques and present possible solutions to these challenges for future research.展开更多
基金Supported by the Key Project of Chinese Ministry of Education(108098)the National Natural Science Foundation of China(40671078,40771088)the Dangui Plan of Huazhong Normal University
文摘In order to objectively and reasonably evaluate the actual and potential value of cultivated land,both social and ecological values are introduced into the classification and grading index system of cultivated land based on the viewpoint of sustainable development,after considering the natural and economic values of cultivated land.Index system construction of the sustainable utilization of cultivated land should follow the principles of economic viability,social acceptability,and ecological protection.Classification of cultivated land should take into account the soil fertility of cultivated land.Then,grading of cultivated land is carried out from the practical productivity(or potential productivity)of cultivated land.According to the existing classification index system of cultivated land,the soil,natural and environmental factors in plains,mountains and hills are mainly modified in the classification index system of cultivated land.And index systems for the cultivated land classification in plains,mountains and hills are set up.The grading index system of cultivated land is established based on the economic viability(economic value),social acceptability(social value)and protection of cultivated land(ecological value).Quantitative expression of cultivated land grading index is also carried out.
基金supported by National Natural Science Foundation of China(No.8210072776)Guangdong Provincial Department of Education,China(No.2020ZD ZX3043)+2 种基金Guangdong Provincial Key Laboratory,China(No.2020B121201001)Shenzhen Natural Science Fund,China(No.JCYJ20200109140820699)the Stable Support Plan Program,China(No.20200925174052004).
文摘Cataracts are the leading cause of visual impairment and blindness globally.Over the years,researchers have achieved significant progress in developing state-of-the-art machine learning techniques for automatic cataract classification and grading,aiming to prevent cataracts early and improve clinicians′diagnosis efficiency.This survey provides a comprehensive survey of recent advances in machine learning techniques for cataract classification/grading based on ophthalmic images.We summarize existing literature from two research directions:conventional machine learning methods and deep learning methods.This survey also provides insights into existing works of both merits and limitations.In addition,we discuss several challenges of automatic cataract classification/grading based on machine learning techniques and present possible solutions to these challenges for future research.
