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1. WO2020161481 - PROCÉDÉ ET APPAREIL PERMETTANT UNE PRÉDICTION DE QUALITÉ


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INTERNATIONAL SEARCH REPORT (ISR)
Part 1:  1  2  3  4  5  6          Part 2:  A  B  C  D  E 
International application No. Applicant's or agent's file reference
PCT/GB2020/050249 N414822WO MN
International filing date (day/month/year) (Earliest) Priority Date (day/month/year)
04 February 2020 06 February 2019
Applicant
OXFORD UNIVERSITY INNOVATION LIMITED
FOR FURTHER ACTION: See Form PCT/ISA/220 as well as, where applicable, item 5 below.
This international search report has been prepared by this International Searching Authority and is transmitted to the applicant according to Article 18. A copy is being transmitted to the International Bureau.
It is also accompanied by a copy of each prior art document cited in this report.
1. Basis of the report
a. With regard to the language, the international search was carried out on the basis of:
the international application in the language in which it was filed.
a translation of the international application into                                          which is the language of a translation furnished for the purposes of international search (Rules 12.3(a) and 23.1(b)).
b.
This international search report has been established taking into account the rectification of an obvious mistake authorized by or notified to this Authority under Rule 91 (Rule 43.6bis(a)).
c.
With regard to any nucleotide and/or amino acid sequence disclosed in the international application, the international search was carried out on the basis of a sequence listing:
2. Certain claims were found unsearchable
3. Unity of invention is lacking
4. Title of the invention
The text is approved as submitted by the applicant.
The text has been established by this Authority to read as follows:
5. Abstract
The text is approved as submitted by the applicant.
The text has been established, according to Rule 38.2, by this Authority as it appears in Box No. IV. The applicant may, within one month from the date of mailing of this international search report, submit comments to this Authority.

A method of selecting an operation for analysis of data, the method comprising: processing the data using at least two operations, wherein each of the at least two operations are different, to obtain a set of outputs including the output associated with each operation; determining an output from the set of outputs with the highest predicted accuracy; and selecting the operation associated with the determined output for further analysis of data; wherein the determination of the output with the highest predicted accuracy comprises: selecting an output from the set of outputs; calculating a degree of similarity between the selected output and another output of the set of outputs; using the degree of similarity to predict the accuracy of the selected output based on a relationship between the similarity of the outputs and the accuracy of the outputs, the relationship being derived from an analysis of the degrees of similarity between the outputs of the operations on training data including ground truth and the accuracy of each output compared to the ground truth; selecting a further output from the set of outputs; calculating a further degree of similarity between the selected further output and another output of the set of outputs; using the further degree of similarity to predict the accuracy of the further selected output based on the relationship; and determining the output with the highest predicted accuracy of the selected outputs.


6. Drawings
a.
The figure of the drawings to be published with the abstract is Figure No.     4    
as suggested by the applicant.
as selected by this Authority, because the applicant failed to suggest a figure.
as selected by this Authority, because this figure better characterizes the invention.
b.
none of the figures is to be published with the abstract.

A. CLASSIFICATION OF SUBJECT MATTER

     G06N 3/04 (2006.01)i; G06N 3/08 (2006.01)i
According to International Patent Classification (IPC) or to both national classification and IPC

B. FIELDS SEARCHED

Minimum documentation searched (classification system followed by classification symbols):
     G06N
Documentation searched other than minimum documentation to the extent that such documents are included in the fields searched:
Electronic data base consulted during the international search (name of data base and, where practicable, search terms used):
EPO-Internal, INSPEC

C. DOCUMENTS CONSIDERED TO BE RELEVANT

Category* Citation of document, with indication, where appropriate, of the relevant passages Relevant to claim No.
(1)
X
HONGWEI LI ET AL, "Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853,14 February 2018 (2018-02-14),
XP081509848
1-21
figures 1, 2, 3, 4, 5; table 3
§ 2
§ 2.1
§ 2.2
§ 2.3.1
§ 3.2.2
§ 3.3
§ 4
§ 4.1
§ 4.2
(2)
X
HAO ZHENG ET AL, "A New Ensemble Learning Framework for 3D Biomedical Image Segmentation", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853,10 December 2018 (2018-12-10),
XP080991228
1-21
abstract; figure 1
§ 1, lines 50-56
§ 2.1
§ 2.2
(3)
X,P
HANN EVAN ET AL, "Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging", 10 October 2019 (2019-10-10), 12TH EUROPEAN CONFERENCE ON COMPUTER VISION, ECCV 2012; [LECTURE NOTES IN COMPUTER SCIENCE], SPRINGER BERLIN HEIDELBERG, BERLIN, HEIDELBERG, PAGE(S) 750 - 758,
XP047522673
ISBN: 9783540377832
1-21
figure 1
§ 2.1
§ 2.2
§ 2.3
§ 3.1
§ 3.2
§ 3.4
(4)
A
EZEQUIEL DE LA ROSA ET AL, "Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853,09 January 2019 (2019-01-09),
XP081013558
1-21
the whole document
(5)
A
JELMER M WOLTERINK ET AL, "Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853,03 August 2017 (2017-08-03),
XP080951288
1-21
the whole document
(6)
A
SHUANGLING WANG ET AL, "Hierarchical retinal blood vessel segmentation based on feature and ensemble learning", NEUROCOMPUTING,Vol. 149, 01 February 2015 (2015-02-01), page 708-717,
XP055470258
1-21
the whole document
(7)
A
WU YICHENG ET AL, "Deep Classification and Segmentation Model for Vessel Extraction in Retinal Images", 02 November 2018 (2018-11-02), ROBOCUP 2008: ROBOCUP 2008: ROBOT SOCCER WORLD CUP XII; [LECTURE NOTES IN COMPUTER SCIENCE; LECT.NOTES COMPUTER], SPRINGER INTERNATIONAL PUBLISHING, CHAM, PAGE(S) 250 - 258,
XP047493187
ISBN: 9783319104034
1-21
the whole document
*
Special categories of cited documents:
"A"
document defining the general state of the art which is not considered to be of particular relevance
"D"
document cited by the applicant in the international application
"E"
earlier application or patent but published on or after the international filing date
"L"
document which may throw doubts on priority claim(s) or which is cited to establish the publication date of another citation or other special reason (as specified)
"O"
document referring to an oral disclosure, use, exhibition or other means
"P"
document published prior to the international filing date but later than the priority date claimed
"T"
later document published after the international filing date or priority date and not in conflict with the application but cited to understand the principle or theory underlying the invention
"X"
document of particular relevance; the claimed invention cannot be considered novel or cannot be considered to involve an inventive step when the document is taken alone
"Y"
document of particular relevance; the claimed invention cannot be considered to involve an inventive step when the document is combined with one or more other such documents, such combination being obvious to a person skilled in the art
"&"
document member of the same patent family
Name and mailing address of the ISA/:
European Patent Office
P.B. 5818, Patentlaan 2, 2280 HV Rijswijk,
Netherlands
Telephone No. (+31-70)340-2040
Facsimile No. (+31-70)340-3016
Date of the actual completion of the international search:
07 May 2020
Date of mailing of the international search report:
20 May 2020
Authorized officer:
Aoun, Marc
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