DIAGNOSIS SUPPORT DEVICE, LEARNING DEVICE, DIAGNOSIS SUPPORT METHOD, LEARNING METHOD, AND PROGRAM

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(11)

EP 3 741 288 A8

(12)	CORRECTED EUROPEAN PATENT APPLICATION
	published in accordance with Art. 153(4) EPC

(15)	Correction information:
	Corrected version no 1 (W1 A1)

(48)	Corrigendum issued on:
	13.01.2021 Bulletin 2021/02

(43)	Date of publication:
	25.11.2020 Bulletin 2020/48

(21)	Application number: 19741888.2

(22)	Date of filing: 18.01.2019

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International Patent Classification (IPC):

A61B 3/14^(2006.01)

(86)	International application number:
	PCT/JP2019/001470

(87)	International publication number:
	WO 2019/142910 (25.07.2019 Gazette 2019/30)

(84)	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
	Designated Extension States:
	BA ME
	Designated Validation States:
	KH MA MD TN

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Priority:

19.01.2018 JP 2018007585

(71)	Applicant: NIKON CORPORATION
	Minato-ku Tokyo (JP)

(72)	Inventors:
	KURIHARA Toshihide Tokyo 160-8582 (JP) KATADA Yusaku Tokyo 160-8582 (JP) TSUBOTA Kazuo Tokyo 160-8582 (JP) MASAYOSHI Kanato Tokyo 160-8582 (JP)

(74)	Representative: Hoffmann Eitle
	Patent- und Rechtsanwälte PartmbB Arabellastraße 30 81925 München 81925 München (DE)

(54)	DIAGNOSIS SUPPORT DEVICE, LEARNING DEVICE, DIAGNOSIS SUPPORT METHOD, LEARNING METHOD, AND PROGRAM

(57) A device for supporting diagnosis has: a reception unit that is configured to receive a fundus image of a subject eye; an identification unit provided with a trained model that is configured to recognize, in the fundus image of the subject eye, an area of abnormality in blood circulation, wherein the model has been trained based upon an image of a fundus and an area of abnormality in blood circulation specified in a fluorescent angiography image of the fundus; and an output unit that is configured to output information relating to the area of abnormality in blood circulation recognized in the fundus image of the subject eye.