Abstract: Big data health service method and system based on remote fundus screening are provided. The method includes steps of: acquiring information to be analyzed sent by remote terminal agency; pre-interpreting information to be analyzed, and judging whether information to be analyzed is qualified; extracting characteristic data from information to be analyzed if it is qualified, and forming structured quantitative index; sorting and analyzing characteristic data and quantitative index according to knowledge calculation model to obtain analysis conclusion; and storing information to be analyzed, characteristic data, quantitative index, and analysis conclusion into pre-designed database.

Abstract: A quality control method for remote fundus screening includes acquiring a fundus image of an examinee through a fundus camera by terminal application institution and transmitting the fundus image as well as personal information and inquiry data which are carried by the examinee to a remote interpretation and consultation center. The remote interpretation consultation center determines whether the fundus image, personal information, and consultation data are qualified; if the fundus image, personal information, and consultation data are unqualified, the remote interpretation consultation center terminates the interpretation.

Abstract: The present invention relates to fundus image processing field, especially a preprocessing method for quantitative analysis of fundus image, and storage device. A preprocessing method for quantitative analysis of fundus image, wherein the step includes, acquiring a to-be-processed fundus image; performing optic disk positioning on the to-be-processed fundus image; performing macular fovea positioning on the to-be-processed image; and calculating a quantization parameter of a distance between a center of the macular fovea and a bitamporal edge of the optic disk. Through this method, the data obtained is converted from absolute representation to relative representation, and through normalization, a meaningful and comparable quantification is formed between people, between different people, and even between inspection results of different instruments. analyze data. It ensures that fundus images from different sources can form meaningful and comparable quantitative indicators.

Abstract: A method is disclosed for converting seismic data obtained at known points to synthesized seismic traces obtainable at arbitrarily selected points. Two dimensional seismic data are converted to dense three dimensional data with the aid of a programmed computer to permit generation of arbitrary views of a particular geologic structure as well as a mathematical representation of the structure. The data is used to locate potential drilling and mining locations for drilling oil or other minerals. In order to provide accurate interpolation from the sparse two dimensional data, both apparent and true dip characteristics are obtained for the surveyed structure, and seismic trace data for a desired point are synthesized as a function of the dip of the surveyed structure. The dip characteristics are obtained from partial derivatives of the two dimensional data in specified coordinate directions. A three dimensional surface corresponding to the dip characteristics is obtained by a least squares fitting technique.

Abstract: Method and apparatus are disclosed for converting seismic data obtained at known points to synthesized seismic traces obtainable at arbitrarily selected points. Two dimensional seismic data are converted to three dimensional data with the aid of a programmed computer to permit generation of arbitrary views of a particular geologic structure as well as a mathematical representation of the structure. In order to provide accurate interpolation from the known data, both apparent and true dip characteristics are obtained for the surveyed structure, and seismic trace data for a desired point are synthesized as a function of the dip of the surveyed structure. The dip characteristics are obtained from partial derivatives of the two dimensional data in specified coordinate directions. A three dimensional surface corresponding to the dip characteristics is obtained by a least squares fitting technique.