QUALITY CONTROL METHOD AND QUALITY CONTROL SYSTEM FOR DATA ANNOTATION ON FUNDUS IMAGE
Some embodiments of the disclosure provide a quality control method for data annotation on a fundus image. In some examples, the method includes: acquiring a plurality of fundus images; performing standardization processing on the fundus images to obtain a plurality of standardized fundus images; performing preliminary filtering on quality of the standardized fundus images to acquire a plurality of qualified fundus images; preparing a target fundus image set; a plurality of first annotation doctors respectively annotating the images of the target fundus image set, to acquire a plurality of groups of doctor annotation results; calculating, on the basis of the doctor annotation results, self-consistency and gold-standard consistency of the corresponding first annotation doctors, to acquire the doctor annotation results of the first annotation doctors satisfying a preset condition as target annotation results; and gathering a plurality of groups of target annotation results to acquire a final annotation result..
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Patent| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Europäisches Patentamt - (2024) vom: 22. Feb. Zur Gesamtaufnahme - year:2024 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
WANG JUAN [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2024-02-22, Last update posted on www.tib.eu: 2024-03-07, Last updated: 2024-03-08 |
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| Patentnummer: |
US2024062378 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA019343701 |
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| 520 | |a Some embodiments of the disclosure provide a quality control method for data annotation on a fundus image. In some examples, the method includes: acquiring a plurality of fundus images; performing standardization processing on the fundus images to obtain a plurality of standardized fundus images; performing preliminary filtering on quality of the standardized fundus images to acquire a plurality of qualified fundus images; preparing a target fundus image set; a plurality of first annotation doctors respectively annotating the images of the target fundus image set, to acquire a plurality of groups of doctor annotation results; calculating, on the basis of the doctor annotation results, self-consistency and gold-standard consistency of the corresponding first annotation doctors, to acquire the doctor annotation results of the first annotation doctors satisfying a preset condition as target annotation results; and gathering a plurality of groups of target annotation results to acquire a final annotation result. | ||
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