IMAGE ANALYSIS INCLUDING SYNTHETIC IMAGES
Image sequence analysis by receiving a set of sequential images associated with a timeline, determining a gap according to the set of sequential images, generating a synthetic image associated with the gap according to the set of sequential images, and providing a new set of images including the synthetic image.
1 . A computer implemented method for image sequence analysis, the method comprising:
receiving a set of sequential images associated with a timeline;
determining a gap in the set of sequential images;
generating a synthetic image associated with the gap according to the set of sequential images; and
providing a new set of images including the synthetic image.
2 . The computer implemented method according to claim 1 , wherein the synthetic image is generated according to images in the set of sequential images preceding and following the gap.
3 . The computer implemented method according to claim 1 , further comprising generating synthetic subject attributes associated with the synthetic image.
4 . The computer implemented method according to claim 3 , further comprising:
categorizing the set of sequential images according to image subject attributes;
analyzing the set of images including the synthetic image, and the synthetic subject attributes using a computer aided detection model, and
providing a computer aided detection model output.
5 . The computer implemented method according to claim 1 , wherein the set of sequential images comprises medical diagnostic images.
6 . The computer implemented method according to claim 5 , wherein determining the gap in the set of sequential images is based, at least in part, upon a medical condition.
7 . The computer implemented method according to claim 1 , wherein the set of sequential images comprises medical diagnostic images associated with a medical condition, the image subject attributes comprise patient demographic and/or medical history data, and determining the gap in the set of images comprises determining a gap according to the medical condition and patient demographic and/or medical history data.
8 . A computer program product for image sequence analysis, the computer program product comprising one or more computer readable storage devices and program instructions collectively stored on the one or more computer readable storage devices, the stored program instructions comprising:
program instructions to receive a set of sequential images associated with a timeline;
program instructions to determine a gap in the set of sequential images;
program instructions to generate a synthetic image associated with the gap according to the set of sequential images; and
program instructions to provide a new set of images including the synthetic image.
9 . The computer program product according to claim 8 , wherein the synthetic image is generated according to images preceding and following the gap.
10 . The computer program product according to claim 8 , the stored program instructions further comprising program instructions to generate synthetic image subject attributes.
11 . The computer program product according to claim 10 , the stored program instructions further comprising:
program instructions to categorize the set of sequential images according to image subject attributes;
program instructions to analyze the set of images including the synthetic image and the synthetic subject attributes, using a computer aided detection model; and
providing a computer aided detection model output.
12 . The computer program product according to claim 8 , wherein the set of sequential images comprises medical diagnostic images.
13 . The computer program product according to claim 12 , wherein determining the gap in the set of sequential images is based, at least in part, upon a medical condition.
14 . The computer program product according to claim 8 , wherein the set of sequential images comprises medical diagnostic images associated with a medical condition, the image subject attributes comprise patient demographic and/or medical history data, and the program instructions to determine the gap comprise program instructions to determine a gap according to the medical condition and patient demographic and/or medical history data.
15 . A computer system for image sequence analysis, the computer system comprising:
one or more computer processors;
one or more computer readable storage devices; and
stored program instructions on the one or more computer readable storage devices for execution by the one or more computer processors, the stored program instructions comprising:
program instructions to receive a set of sequential images associated with a timeline;
program instructions to determine a gap in the set of sequential images;
program instructions to generate a synthetic image associated with the gap according to the set of sequential images; and
program instructions to provide a new set of images including the synthetic image.
16 . The computer system according to claim 15 , wherein the synthetic image is generated according to images preceding and following the gap.
17 . The computer system according to claim 15 , the stored program instructions further comprising program instructions to generate synthetic image subject attributes.
18 . The computer system according to claim 17 , the stored program instructions further comprising:
program instructions to categorize the set of sequential images according to image subject attributes;
program instructions to analyze the set of images including the synthetic image and the synthetic subject attributes, using a computer aided detection model; and
providing a computer aided detection model output.
19 . The computer system according to claim 18 , wherein the set of sequential images comprises medical diagnostic images.
20 . The computer system according to claim 15 , wherein the set of sequential images comprises medical diagnostic images associated with a medical condition, the image subject attributes comprises patient demographic and/or medical history data, and the program instructions to determine the gap comprise program instructions to determine a gap according to the medical condition and patient demographic data.