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EP3893198
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EP About this file: EP3893198
| EP3893198 - METHOD AND SYSTEM FOR COMPUTER AIDED DETECTION OF ABNORMALITIES IN IMAGE DATA [Right-click to bookmark this link] | Status | Request for examination was made Status updated on 15.04.2022 Database last updated on 15.06.2024 | |
| Former | The application has been published Status updated on 10.09.2021 | Most recent event Tooltip | 17.05.2024 | Change - representative | Applicant(s) | For all designated states Siemens Healthineers AG Siemensstraße 3 91301 Forchheim / DE | [2024/07] |
| Former [2021/41] | For all designated states Siemens Healthcare GmbH Henkestraße 127 91052 Erlangen / DE | Inventor(s) | 01 /
Liu, Siqi 3 Hanover Ct. Princeton, NJ 08540 / US | 02 /
Zhao, Yiyuan 45 Creekside Lane Malvern, PA 19355 / US | 03 /
Bhatia, Parmeet Singh 27 E. Central Ave, Apt E-1 Paoli, PA 19301 / US | 04 /
Hermosillo Valadez, Gerardo 206 Fowler Drive West Chester, PA 19382 / US | 05 /
Jerebko, Anna 232 Vincent Rd. Paoli, PA 19301 / US | [2021/41] | Representative(s) | Siemens Healthineers Patent Attorneys Postfach 22 16 34 80506 München / DE | [N/P] | Application number, filing date | 20168789.4 | 08.04.2020 | [2021/41] | Filing language | EN | Procedural language | EN | Publication | Type: | A1 Application with search report | No.: | EP3893198 | Date: | 13.10.2021 | Language: | EN | [2021/41] | Search report(s) | (Supplementary) European search report - dispatched on: | EP | 06.08.2020 | Classification | IPC: | G06T7/00 | [2021/41] | CPC: |
G06T7/0012 (EP,US);
G16H30/40 (US);
G06N3/08 (US);
G06T3/02 (US);
G06T5/70 (US);
G06T5/73 (US);
G06T2207/10072 (EP);
G06T2207/20081 (US);
G06T2207/20084 (EP);
G06T2207/20104 (US)
(-)
| Designated contracting states | AL, 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 [2022/19] |
| Former [2021/41] | AL, 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 | Extension states | BA | Not yet paid | ME | Not yet paid | Validation states | KH | Not yet paid | MA | Not yet paid | MD | Not yet paid | TN | Not yet paid | Title | German: | VERFAHREN UND SYSTEM ZUR RECHNERGESTÜTZTEN ERKENNUNG VON ANOMALIEN IN BILDDATEN | [2021/41] | English: | METHOD AND SYSTEM FOR COMPUTER AIDED DETECTION OF ABNORMALITIES IN IMAGE DATA | [2021/41] | French: | PROCÉDÉ ET SYSTÈME DE DÉTECTION D'ANOMALIES ASSISTÉE PAR ORDINATEUR DANS DES DONNÉES D'IMAGE | [2021/41] | Examination procedure | 12.04.2022 | Amendment by applicant (claims and/or description) | 12.04.2022 | Examination requested [2022/20] | 12.04.2022 | Date on which the examining division has become responsible | Fees paid | Renewal fee | 19.04.2022 | Renewal fee patent year 03 | 19.04.2023 | Renewal fee patent year 04 | 18.04.2024 | Renewal fee patent year 05 |
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| Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court. | Documents cited: | Search | [XI]US2019303760 (KUMAR AMIT [US], et al) [X] 1,2,6,7,11 * paragraphs [0019] , [0184] , [ 195] , [0231] * * figure 14 * [I] 13-15; | [XYI]WO2019245597 (GOOGLE LLC [US]) [X] 1,2,6-11 * figure 1 * * claim 1 * * figure 3 * * page 17, lines 12-16 * * page 20, lines 5-6,13-15 * * page 16, lines 20-24 * * page 18, lines 7-9,23-32 * [Y] 3-5 [I] 12-15; | [XI] - LI XUECHEN ET AL, "Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection", ARTIFICIAL INTELLIGENCE IN MEDICINE, ELSEVIER, NL, vol. 103, doi:10.1016/J.ARTMED.2019.101744, ISSN 0933-3657, (20191028), (20191028), XP086078294 [X] 1,2,6,8 * figure 2 * * page 4, column l, lines 5-11 * * page 4, column r, lines 4-12 * [I] 14,15 DOI: http://dx.doi.org/10.1016/j.artmed.2019.101744 | [Y] - QINGHE ZHENG ET AL, "A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification", DISCRETE DYNAMICS IN NATURE AND SOCIETY, (20200111), vol. 2020, doi:10.1155/2020/4706576, ISSN 1026-0226, pages 1 - 11, XP055716316 [Y] 3-5 * page 10, column l, lines 11-14 * * page 7, column l, lines 11-17 * * page 3, column r, paragraph l * * page 4, column l, paragraphs 2-4 * DOI: http://dx.doi.org/10.1155/2020/4706576 | [X] - GONZALEZ-DIAZ IVAN, "DermaKNet: Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for Skin Lesion Diagnosis", IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, IEEE, PISCATAWAY, NJ, USA, vol. 23, no. 2, doi:10.1109/JBHI.2018.2806962, ISSN 2168-2194, (20190301), pages 547 - 559, (20190304), XP011713048 [X] 1-3,5-8,10,11,13-15 * figure 1 * * page 549, left-hand column, penultimate paragraph * * figure 6 * * equation 13 * * figure 3 * DOI: http://dx.doi.org/10.1109/JBHI.2018.2806962 | [Y] - CALVO-ZARAGOZA JORGE ET AL, "Ensemble classification from deep predictions with test data augmentation", SOFT COMPUTING, SPRINGER VERLAG, BERLIN, DE, vol. 24, no. 2, doi:10.1007/S00500-019-03976-7, ISSN 1432-7643, (20190408), pages 1423 - 1433, (20190408), XP036980930 [Y] 3-5 * abstract * * page 1425 * DOI: http://dx.doi.org/10.1007/s00500-019-03976-7 | by applicant | US2009067693 | US2009092300 | US2016321427 |