Approximate maculopathy grading method, system and equipment and readable storage medium
The invention provides an approximate maculopathy grading method, system and device and a readable storage medium. The grading method comprises the steps of obtaining a to-be-graded fundus image; preprocessing the eye fundus image to be graded to obtain a processed eye fundus image; the processed ey...
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| creator | LU LI ZHOU GONGGAN |
| description | The invention provides an approximate maculopathy grading method, system and device and a readable storage medium. The grading method comprises the steps of obtaining a to-be-graded fundus image; preprocessing the eye fundus image to be graded to obtain a processed eye fundus image; the processed eye fundus image meets a preset grading processing requirement; and inputting the processed fundus image into a pre-stored myopic macular lesion grading model, and carrying out lesion grading on the processed fundus image through the pre-stored myopic macular lesion grading model so as to output a prediction result of the pathological myopic lesion degree. According to the approximate maculopathy grading method, system and equipment and the readable storage medium, the grading of myopic maculopathy is realized, the grading efficiency is high, and the precision is very high.
本发明提供一种近似性黄斑病变的分级方法、系统、设备及可读存储介质，所述分级方法包括：获取待分级的眼底图像；预处理所述待分级的眼底图像，获取处理后的眼底图像；所述处理后的眼底图像符合预设分级处理要求；将所述处理后的眼底图像输入至预存近视性黄斑病变分级模型，通过所述预存近视性黄斑病变分级模型对 |
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本发明提供一种近似性黄斑病变的分级方法、系统、设备及可读存储介质，所述分级方法包括：获取待分级的眼底图像；预处理所述待分级的眼底图像，获取处理后的眼底图像；所述处理后的眼底图像符合预设分级处理要求；将所述处理后的眼底图像输入至预存近视性黄斑病变分级模型，通过所述预存近视性黄斑病变分级模型对</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220614&DB=EPODOC&CC=CN&NR=114627043A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220614&DB=EPODOC&CC=CN&NR=114627043A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LU LI</creatorcontrib><creatorcontrib>ZHOU GONGGAN</creatorcontrib><title>Approximate maculopathy grading method, system and equipment and readable storage medium</title><description>The invention provides an approximate maculopathy grading method, system and device and a readable storage medium. The grading method comprises the steps of obtaining a to-be-graded fundus image; preprocessing the eye fundus image to be graded to obtain a processed eye fundus image; the processed eye fundus image meets a preset grading processing requirement; and inputting the processed fundus image into a pre-stored myopic macular lesion grading model, and carrying out lesion grading on the processed fundus image through the pre-stored myopic macular lesion grading model so as to output a prediction result of the pathological myopic lesion degree. According to the approximate maculopathy grading method, system and equipment and the readable storage medium, the grading of myopic maculopathy is realized, the grading efficiency is high, and the precision is very high.
本发明提供一种近似性黄斑病变的分级方法、系统、设备及可读存储介质，所述分级方法包括：获取待分级的眼底图像；预处理所述待分级的眼底图像，获取处理后的眼底图像；所述处理后的眼底图像符合预设分级处理要求；将所述处理后的眼底图像输入至预存近视性黄斑病变分级模型，通过所述预存近视性黄斑病变分级模型对</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjL0KwkAQBtNYiPoOa69gTNA6BMXKysIurLkvycH9ebcB8_aK-ABWw8Aw8-xehRD9S1sWkOV2ND6wDBP1kZV2PVnI4NWG0pQEltgpwnPUwcLJ1yJY8cOAkvjI_ecCpUe7zGYdm4TVj4tsfT7d6ssWwTdIgVs4SFNf87w87I-7sqiKf5o368I6ug</recordid><startdate>20220614</startdate><enddate>20220614</enddate><creator>LU LI</creator><creator>ZHOU GONGGAN</creator><scope>EVB</scope></search><sort><creationdate>20220614</creationdate><title>Approximate maculopathy grading method, system and equipment and readable storage medium</title><author>LU LI ; ZHOU GONGGAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114627043A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>LU LI</creatorcontrib><creatorcontrib>ZHOU GONGGAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LU LI</au><au>ZHOU GONGGAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Approximate maculopathy grading method, system and equipment and readable storage medium</title><date>2022-06-14</date><risdate>2022</risdate><abstract>The invention provides an approximate maculopathy grading method, system and device and a readable storage medium. The grading method comprises the steps of obtaining a to-be-graded fundus image; preprocessing the eye fundus image to be graded to obtain a processed eye fundus image; the processed eye fundus image meets a preset grading processing requirement; and inputting the processed fundus image into a pre-stored myopic macular lesion grading model, and carrying out lesion grading on the processed fundus image through the pre-stored myopic macular lesion grading model so as to output a prediction result of the pathological myopic lesion degree. According to the approximate maculopathy grading method, system and equipment and the readable storage medium, the grading of myopic maculopathy is realized, the grading efficiency is high, and the precision is very high.
本发明提供一种近似性黄斑病变的分级方法、系统、设备及可读存储介质，所述分级方法包括：获取待分级的眼底图像；预处理所述待分级的眼底图像，获取处理后的眼底图像；所述处理后的眼底图像符合预设分级处理要求；将所述处理后的眼底图像输入至预存近视性黄斑病变分级模型，通过所述预存近视性黄斑病变分级模型对</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Approximate maculopathy grading method, system and equipment and readable storage medium |
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