公开(公告)号：GB2568623A

公开(公告)日：2019-05-22

申请号：GB201903409

申请日：2017-09-21

Applicant: IBM

Inventor： PALLAB ROY ,  RAHIL GARNAVI ,  SUMAN SEDAI ,  DWARIKANATH MAHAPATRA ,  RAJIB CHAKRAVORTY

IPC: G06T7/10 ,  A61B3/10 ,  G06T11/00

Abstract: An AMD prediction model utilizes an OCT image estimation model. The OCT image estimation module is created by segmenting an OCT image to generate an OCT projection image for each of multiple biological layers; extracting from each of the generated OCT projection images a first set of features; extracting a second set of features from an input retinal fundus image; for each respective biological layer, registering the input retinal fundus image to the respective OCT projection image by matching at least some of the second set of features with corresponding ones of the first set of features; repeating the above with changes to the input retinal fundus image; and modelling how the changes to the input retinal fundus image are manifest at the correspondingly registered projection images. Estimated OCT projection images can then be generated for the multiple biological layers from a given retinal fundus image.

公开(公告)号：GB2616774B

公开(公告)日：2025-03-05

申请号：GB202309459

申请日：2021-11-11

Applicant: IBM

Inventor： JORGE ANDRES MOROS ORTIZ ,  BRUNO DE ASSIS MARQUES ,  SUMAN SEDAI

IPC: G06F21/31

Abstract: In an approach to improve multi-factor authentication embodiments generate an evaluation-mask over one or more modified items on a modified image created by a generative adversarial network (GAN). Further, embodiments create a scoring grid by comparing an original image with the modified image to identify different pixels between the original image and the modified image, and overlay the evaluation-mask over the identified different pixels on the modified image. Embodiments display the modified image as a multi-factor authentication prompt to a user and prompt the user to provide a response that identifies one or more modifications in the modified image. Additionally, embodiments compute an evaluation score based on a comparison of the response from the user with the evaluation-mask, to validate the response from the user, and authenticate and grant the user access to data or other resources if the evaluation score meets or exceeds a predetermined threshold.

公开(公告)号：GB2568623B

公开(公告)日：2019-09-18

申请号：GB201903409

申请日：2017-09-21

Applicant: IBM

Inventor： PALLAB ROY ,  RAHIL GARNAVI ,  SUMAN SEDAI ,  DWARIKANATH MAHAPATRA ,  RAJIB CHAKRAVORTY

IPC: G06T7/10 ,  A61B3/10 ,  G06T11/00

Abstract: An AMD prediction model utilizes an OCT image estimation model. The OCT image estimation module is created by segmenting an OCT image to generate an OCT projection image for each of multiple biological layers; extracting from each of the generated OCT projection images a first set of features; extracting a second set of features from an input retinal fundus image; for each respective biological layer, registering the input retinal fundus image to the respective OCT projection image by matching at least some of the second set of features with corresponding ones of the first set of features; repeating the above with changes to the input retinal fundus image; and modelling how the changes to the input retinal fundus image are manifest at the correspondingly registered projection images. Estimated OCT projection images can then be generated for the multiple biological layers from a given retinal fundus image.