The invention discloses a Raman spectrum-based
endometrial tissue spectral data processing method and equipment, and relates to the technical field of
data processing. The method comprises the following steps: firstly, calculating a gradient change sequence of to-be-processed
spectral data, carrying out continuity
verification in combination with
wavelength and width, and accurately dividing a Raman characteristic peak interval and a background baseline interval; then, iterative baseline fitting
processing based on a Raman peak
protection mechanism is adopted, blood
fluorescence interference is eliminated, and pure Raman spectrum data is obtained. And further, inputting the pure
spectral data into a pre-constructed segmented fusion
feature extraction network, extracting local
wave band features, fusing the local
wave band features with global features, and outputting a
data classification result. According to the embodiment of the invention, the problem of difficult
feature extraction caused by low
signal-to-
noise ratio of a bleeding sample and non-uniform background in related technologies can be effectively solved, the integrity of spectrum
fingerprint information is ensured while strong
fluorescence interference is thoroughly eliminated, and the accuracy of data
feature extraction and the robustness of classification and recognition are improved.