Patent ID: 11955240
Assignee: RENMIN HOSPITAL OF WUHAN UNIVERSITY (HUBEI GENERAL HOSPITAL)
Field: Computer technology (Electrical engineering)
Classification: CPC G  A  Y | IPC A  G

Claim 8:
9. A consultation apparatus for implementing the ophthalmologic intelligent consultation method according to claim 1, comprising:
a voice framing module, configured to acquire a consultation voice of a to-be-diagnosed patient, perform correction filtering on the consultation voice to acquire a filtered voice, frame the filtered voice into a consultation voice frame sequence, and extract voice features for the voice frames to acquire a consultation voice feature sequence;
a voice consultation module, configured to perform phoneme recognition on the voice feature sequence to acquire a consultation phoneme sequence, transcode, by a self-attention, the phoneme sequence into a consultation text, perform text segmentation and vectorization operation on the consultation text sequentially to acquire consultation text features, and perform semantics recognition on the consultation text features to acquire an ophthalmologically-described disease;
a picture equalization module, configured to acquire an eye picture set of the to-be-diagnosed patient, screen out a sharp eye picture group from the eye picture set, perform gray-level filtering operation on the sharp eye picture group to acquire a filtered eye picture group, and perform primary picture segmentation and size equalization operations on each filtered eye picture in the filtered eye picture group to acquire a standard eyeball picture group;
a feature extracting module, configured to perform secondary picture segmentation operation on the standard eyeball picture group to acquire an eye white picture group, a pupil picture group, and a blood vessel picture group, and extract eye white features from the eye white picture group, pupil features from the pupil picture group and blood vessel features from the blood vessel picture group; and
a result generating module, configured to perform lesion feature analysis on the eye white features, the pupil features and the blood vessel features to acquire an ophthalmologically-observed disease, and generate a consultation result based on the ophthalmologically-observed disease and the ophthalmologically-described disease.