Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#The development of digital imaging technology is creating extraordinary levels of accuracy that provide support for improved reliability in different aspects of the image analysis, such as content-based image retrieval, image segmentation, and classification. This has dramatically increased the volume and rate at which data are generated. Together these facts make querying and sharing non-trivial and render centralized solutions unfeasible. Moreover, in many cases this data is often distributed and must be shared across multiple institutions requiring decentralized solutions. In this context, a new generation of data/information driven applications must be developed to take advantage of the national advanced cyber-infrastructure (ACI) which enable investigators to seamlessly and securely interact with information/data which is distributed across geographically disparate resources.  presents the development and evaluation of a novel content-based image retrieval (CBIR) framework. The methods re tested extensively using both peripheral blood smears and renal glomeruli specimens. The datasets and performance re evaluated by two pathologists to determine the concordance.
['Xin Qi', 'Daihou Wang', 'Ivan Rodero', 'Javier Diaz-Montes', 'Rebekah H. Gensure', 'Fuyong Xing', 'Hua Zhong', 'Lauri Goodell', 'Manish Parashar', 'David J. Foran', 'Lin Yang']
I am writing a research paper on a idea Content-based histopathology image retrieval using CometCloud
[{"from": "human", "value": "I am writing a research paper on a idea Content-based histopathology image retrieval using CometCloud"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#The development of digital imaging technology is creating extraordinary levels of accuracy that provide support for improved reliability in different aspects of the image analysis, such as content-based image retrieval, image segmentation, and classification. This has dramatically increased the volume and rate at which data are generated. Together these facts make querying and sharing non-trivial and render centralized solutions unfeasible. Moreover, in many cases this data is often distributed and must be shared across multiple institutions requiring decentralized solutions. In this context, a new generation of data/information driven applications must be developed to take advantage of the national advanced cyber-infrastructure (ACI) which enable investigators to seamlessly and securely interact with information/data which is distributed across geographically disparate resources.  presents the development and evaluation of a novel content-based image retrieval (CBIR) framework. The methods re tested extensively using both peripheral blood smears and renal glomeruli specimens. The datasets and performance re evaluated by two pathologists to determine the concordance."}]