Machine learning-based automated abnormality detection in medical images and presentation thereof
AssigneeArterys Inc.
InventorsMatthew Joseph DiDonato, Daniel Irving Golden, John Axerio-Cilies, Taryn Nicole Heilman
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Abstract
The presently disclosed technology relates to medical image processing. An example method includes receiving medical image data which represents an anatomical structure and processing the received image data through convolutional neural network (CNN) to generate predictions. The predictions can include abnormality location proposals and abnormality class probabilities associated with each abnormality location proposals.
Claims25
1-29. (canceled)
A system for displaying findings on a radiological study, comprising:
- at least one nontransitory processor-readable storage medium that stores at least one of processor-executable instructions or data;
- and
- at least one processor communicably coupled to the at least one nontransitory processor-readable storage medium, in operation the at least one processor:
- presenting, on a display, image data associated with a radiological study;
- presenting, on the display, a location indicator for each of one or more known or suspected abnormalities at the respective location thereof;
- and
- presenting, one the display, one or more characteristics of each of the one or more known or suspected abnormalities.
31-34. (canceled)
(canceled)
(canceled)
The method of claim 90, wherein the location indicator comprises a segmentation.
The non-transitory computer-readable medium of claim 91, wherein the acts comprise causing a list of the known or suspected abnormalities to be displayed to a user on a display.
The non-transitory computer-readable medium of claim 91, wherein the one or more characteristic are displayed on the image one of adjacent to or overlapping with the location indicator.
The non-transitory computer-readable medium of claim 91, wherein the one or more characteristics are displayed separately from the image data.
The non-transitory computer-readable medium of claim 91, wherein the one or more characteristics include any one or more of:
- abnormality size, opacity, morphology, likelihood of malignancy, possible diagnosis or diagnoses, likelihood of any individual diagnosis;
- or changes to any of abnormality size, opacity, morphology, likelihood of malignancy, possible diagnosis or diagnoses, likelihood of any individual diagnosis compared to a prior exam.
54-89. (canceled)
A computer-implemented method, comprising:
- causing a display to present image data associated with a radiological study;
- causing the display to present a location indicator for each of one or more known or suspected abnormalities at the respective location thereof;
- and
- causing the display to present one or more characteristics of each of the one or more known or suspected abnormalities.
A non-transitory computer-readable medium storing contents that, when executed by one or more processors, cause acts to be performed, the acts comprising:
- causing a display to present image data associated with a radiological study;
- causing the display to present a location indicator for each of one or more known or suspected abnormalities at the respective location thereof;
- and
- causing the display to present one or more characteristics of each of the one or more known or suspected abnormalities.
Dependencies are inferred from the claim text.