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Extract from the Register of European Patents

EP About this file: EP4140391

EP4140391 - EYE STATE ASSESSMENT METHOD AND ELECTRONIC DEVICE [Right-click to bookmark this link]
StatusThe patent has been granted
Status updated on  26.01.2024
Database last updated on 09.07.2024
FormerGrant of patent is intended
Status updated on  18.09.2023
FormerRequest for examination was made
Status updated on  27.01.2023
Most recent event   Tooltip05.07.2024Lapse of the patent in a contracting statepublished on 07.08.2024 [2024/32]
Applicant(s)For all designated states
Acer Incorporated
8F, No. 88, Sec. 1
Xintai 5th Road
Xizhi District
New Taipei City 221 / TW
For all designated states
National Taiwan University Hospital
No. 7, Zhongshan S. Road
Zhongzehng District
Taipei City 100 / TW
[2023/09]
Inventor(s)01 / Huang, Yi-Jin
221 New Taipei City / TW
02 / Li, Chien-Hung
221 New Taipei City / TW
03 / Chang, Wei-Hao
221 New Taipei City / TW
04 / Hsu, Hung-Sheng
221 New Taipei City / TW
05 / Kuo, Ming-Chi
221 New Taipei City / TW
06 / Huang, Jehn-Yu
100 Taipei City / TW
 [2023/09]
Representative(s)2K Patentanwälte Blasberg Kewitz & Reichel
Partnerschaft mbB
Schumannstrasse 27
60325 Frankfurt am Main / DE
[2023/09]
Application number, filing date21208958.518.11.2021
[2023/09]
Priority number, dateTW2021013170526.08.2021         Original published format: TW 110131705
[2023/09]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP4140391
Date:01.03.2023
Language:EN
[2023/09]
Type: B1 Patent specification 
No.:EP4140391
Date:28.02.2024
Language:EN
[2024/09]
Search report(s)(Supplementary) European search report - dispatched on:EP30.05.2022
ClassificationIPC:A61B3/12, G06T7/00, G06T7/62, G06V40/18, G16H50/20, G06V10/82, A61B3/00, G06V10/80, G16H30/40, G16H50/30
[2023/40]
CPC:
G16H50/20 (EP); G06T7/0012 (EP,US); A61B3/0025 (EP,US);
A61B3/12 (EP,US); A61B3/14 (US); A61B5/7275 (US);
G06V10/809 (EP); G06V10/82 (EP); G06V40/18 (EP);
G06V40/193 (EP); G16H30/40 (EP); G16H50/30 (EP);
G06T2207/10024 (EP,US); G06T2207/20081 (EP); G06T2207/20084 (EP,US);
G06T2207/30041 (EP,US) (-)
Former IPC [2023/09]A61B3/12, G06T7/00, G06T7/62, G06V40/18, G16H50/20, G06V10/82
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2023/09]
TitleGerman:AUGENZUSTANDSBEURTEILUNGSVERFAHREN UND ELEKTRONISCHE VORRICHTUNG[2023/09]
English:EYE STATE ASSESSMENT METHOD AND ELECTRONIC DEVICE[2023/09]
French:PROCÉDÉ D'ÉVALUATION D'ÉTAT DE L'OEIL ET DISPOSITIF ÉLECTRONIQUE[2023/42]
Former [2023/09]PROCÉDÉ D'ÉVALUATION D'ÉTAT DE L' IL ET DISPOSITIF ÉLECTRONIQUE
Examination procedure24.07.2022Amendment by applicant (claims and/or description)
24.08.2022Examination requested  [2023/09]
24.08.2022Date on which the examining division has become responsible
19.09.2023Communication of intention to grant the patent
11.01.2024Receipt of the translation of the claim(s)
19.01.2024Fee for grant paid
19.01.2024Fee for publishing/printing paid
Fees paidRenewal fee
29.11.2023Renewal fee patent year 03
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Patent Court
See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipIS28.06.2024
[2024/32]
Documents cited:Search[A]US2016100753  (LIU JIANG [SG], et al) [A] 1-12* paragraph [0118] - paragraph [0119]; figure 2 *;
 [YA]US2020401841  (LEE JOONSEOK [KR], et al) [Y] 1-8,12 * paragraph [0005] - paragraph [0089]; figures 1, 4, 5, 14 * [A] 9-11;
 [YA]  - MOSHKOV NIKITA ET AL, "Test-time augmentation for deep learning-based cell segmentation on microscopy images", SCIENTIFIC REPORTS, vol. 10, doi:10.1038/s41598-020-61808-3, (20200319), Database accession no. 5068, URL: https://www.nature.com/articles/s41598-020-61808-3.pdf, (20220519), XP055923179 [Y] 1-8,12 * abstract * * page 3 * [A] 9-11

DOI:   http://dx.doi.org/10.1038/s41598-020-61808-3
 [A]  - SHINDE RUTUJA, "Glaucoma detection in retinal fundus images using U-Net and supervised machine learning algorithms", INTELLIGENCE-BASED MEDICINE, (20210714), vol. 5, doi:10.1016/j.ibmed.2021.100038, ISSN 2666-5212, page 100038, XP055915873 [A] 1-12 * page 2 *

DOI:   http://dx.doi.org/10.1016/j.ibmed.2021.100038
 [A]  - Ko Yu-Chieh ET AL, "Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model", PloS one, San Francisco, doi:10.1371/journal.pone.0233079, (20200514), pages 1 - 15, URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224540/pdf/pone.0233079.pdf, (20220426), XP055915872 [A] 1-12 * page 4; figure 1 *

DOI:   http://dx.doi.org/10.1371/journal.pone.0233079
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