Information processing unit, information processing method, and program
US-2018004806-A1 · Jan 4, 2018 · US
US10430905B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10430905-B2 |
| Application number | US-201313848656-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 21, 2013 |
| Priority date | Mar 23, 2012 |
| Publication date | Oct 1, 2019 |
| Grant date | Oct 1, 2019 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Image search conditions that are past search conditions are displayed in an image search history area, and text search conditions are displayed in a text search history area. When a user selects a desired image search condition out of the search conditions displayed in the image search history area, and selects a desired text search condition out of the search conditions displayed in the text search history area, case data that matches the selected image search condition and the text search condition is extracted from a database and displayed in a search result display area.
Opening claim text (preview).
What is claimed is: 1. A case search device, comprising: a database which stores case data including image data and text data; a display device; a controller comprising a central processing unit, the central processing unit configured to execute: an image acquiring unit configured to acquire a diagnosis target image; an area extracting unit configured to extract different areas of interest with different extraction conditions of a same location in areas of interest from the acquired diagnosis target image; a text data acquiring unit configured to acquire text data relating to the diagnosis target image; a search device unit configured to perform against the database an image search with the extracted area of interest as an image search condition and a text search with the acquired text data as a text search condition and to extract case data that matches the image search condition and the text search condition; a search result display unit configured to display the extracted case data on the display device; a search condition storing unit configured to store image search conditions of respectively different areas of interests regarding a same diagnosis target image with which case data is extracted more than once by the search unit and the text search condition; and a search history display unit configured to display each of the stored image search conditions and text search conditions as a combination with a single result per combination of the image search condition and the text search condition on the display device in a search result display matrix so as to be specifiable by a user, wherein when any one of the displayed image search conditions and any one of the displayed text search conditions are specified, the search unit extracts case data that matches the specified image search condition and the specified text search condition, wherein the search unit: calculates a feature value regarding the extracted area of interest by: calculating pixel values including: an average value, a distribution, a maximum value, a minimum value and a luminance histogram within image data; positions; numeric values with respect to shapes including a circularity degree of a profile, a moment, a cross sectional radius, a volume, and an area; and shape information and texture information on the lesion portion in the area of interest: compares the calculated feature value with a feature value of image data on an identical region in the case data included in the database to calculate a similarity degree by using one of: a difference of feature values; a least square distance on feature quantity space; and a Mahalanobis' distance; and performs an image search based on the calculated similarity degree, and wherein the search result display unit displays a coordinate representing the area of interest that was automatically extracted and the text data inputted into the text data input section. 2. The case search device according to claim 1 , wherein the area extracting unit extracts the area of interest based on an instruction by the user. 3. The case search device according to claim 1 , wherein the area extracting unit extracts the area of interest by conducting image analysis based on a specified threshold. 4. The case search device according to claim 1 , wherein the text data acquiring unit acquires text data inputted by the user with an input device. 5. The case search device according to claim 1 , wherein the search unit extracts case data from the case data obtained by the text search in order of higher similarity degrees. 6. The case search device according to claim 1 , wherein the search condition storing unit stores the calculated feature value as the image search condition. 7. The case search device according to claim 1 , wherein the search condition storing unit stores a search result by the search device. 8. The case search device according to claim 1 , wherein the search history display unit displays the stored image search conditions and text search conditions in a matrix on the display device. 9. The case search device according to claim 1 , wherein the search result display unit displays image data and text data in the extracted case data. 10. A method for case search including a controller comprising a central processing unit, the method comprising: an image acquisition step of acquiring a diagnosis target image; an area extraction step of extracting different areas of interest with different extraction conditions of a same location in areas of interest from the acquired diagnosis target image; a text data acquisition step of acquiring text data relating to the diagnosis target image; a search step of performing against a database storing case data including image data and text data an image search with the extracted area of interest as an image search condition and a text search with the acquired text data as a text search condition and extracting case data that matches the image search condition and the text search condition; a search result display step of displaying the extracted case data on a display device; a search condition storage step of storing image search conditions of respectively different areas of interest regarding a same diagnosis target image with which case data are extracted more than once by the search step and the text search condition in a storing device; and a search history display step of displaying on the display device each of the stored image search conditions and text search conditions as a combination with a single result per combination of the image search condition and the text search condition in a search result display matrix so as to be specifiable by a user, wherein, in the search step, when any one of the displayed image search conditions and any one of the displayed text search conditions are specified, case data that matches the specified image search condition and the specified text search condition is extracted, wherein the central processing unit executes the image acquisition step, the area extraction step, the text data acquisition step, the search step, the search result display step, the search condition storage step, and the search history display step, wherein the search step: calculates a feature value regarding the extracted area of interest by: calculating pixel values including: an average value, a distribution, a maximum value, a minimum value and a luminance histogram within image data; positions; numeric values with respect to shapes including a circularity degree of a profile, a moment, a cross sectional radius, a volume, and an area; and shape information and texture information on the lesion portion in the area of interest; compares the calculated feature value with a feature value of image data on an identical region in the case data included in the database to calculate a similarity degree by using one of: a difference of feature values: a least square distance on feature quantity space; and a Mahalanobis' distance; and performs an image search based on the calculated similarity degree, and wherein the search result display step displays a coordinate representing the area of interest that was automatically extracted and the text data inputted into the text data input section. 11. A non-transitory programmable storage medium tangibly embodying a program of machine-readable instructions executable by a digital processing apparatus to perform a case search method, said method comprising: an image acquiring function to acquire a diagnosis target image; an area extracting function to extract different areas of interest with different extraction condit
for computer-aided diagnosis, e.g. based on medical expert systems · CPC title
for patient-specific data, e.g. for electronic patient records · CPC title
for mining of medical data, e.g. analysing previous cases of other patients · CPC title
Physics · mapped topic
Physics · mapped topic
Related publications grouped by family.
Answers are generated from the same data shown on this page.