Quantitative predictors of tumor severity
US-2015356730-A1 · Dec 10, 2015 · US
Medical-image processing apparatus
US10413236B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10413236-B2 |
| Application number | US-201514747199-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 23, 2015 |
| Priority date | Jun 23, 2014 |
| Publication date | Sep 17, 2019 |
| Grant date | Sep 17, 2019 |
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Abstract
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A medical-image processing apparatus according to an embodiment includes an extracting unit, a dividing unit, and an estimating unit. The extracting unit extracts a disease candidate region from a medical image. The dividing unit divides the disease candidate region into multiple partial regions. The estimating unit uses the feature value of each of the partial regions to estimate the disease state of the disease candidate region.
First claim
Opening claim text (preview).
What is claimed is: 1. A medical-image processing apparatus comprising: processing circuitry configured to: extract a disease candidate region from a medical image; divide the disease candidate region into an internal region and an external region, by performing erosion to the disease candidate region, the erosion being repeatedly performed so that a ratio between a size of the internal region and a size of the external region becomes a predetermined ratio; extract a first feature vector of the internal region and a second feature vector of the external region; generate a combining vector by combining the first feature vector and the second feature vector; and estimate a disease state of the disease candidate region by using the combining vector, wherein a number of elements of the combining vector is a total number of elements obtained by adding a number of elements of the first feature vector and a number of elements of the second feature vector wherein the processing circuitry is configured to: accept an estimation result in which a disease state of the disease candidate region is estimated; generate a classifier for a computer-aided diagnosis based on the combining vector and the estimation result; and estimate a disease state of a newly extracted disease candidate region by using the classifier. 2. The medical-image processing apparatus according to claim 1 , wherein the processing circuitry is configured to: extract a third feature vector of disease candidate region before the dividing; generate a combining vector by combining the first feature vector, the second feature vector and the third feature vector; and estimate a disease state of the disease candidate region by using the combining vector, wherein a number of elements of the combining vector is a total number of elements obtained by adding a number of elements of the first feature vector, a number of elements of the second feature vector, and a number of elements of the third feature vector. 3. The medical-image processing apparatus according to claim 1 , wherein the medical image is multiple medical image data sets.
Assignees
Inventors
Classifications
for handling medical images, e.g. DICOM, HL7 or PACS · CPC title
Lung nodule · CPC title
Medical image data (A61B1/00011, A61B6/56, A61B8/56 take precedence) · CPC title
Tumor; Lesion · CPC title
Ultrasound image · CPC title
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- What does patent US10413236B2 cover?
- A medical-image processing apparatus according to an embodiment includes an extracting unit, a dividing unit, and an estimating unit. The extracting unit extracts a disease candidate region from a medical image. The dividing unit divides the disease candidate region into multiple partial regions. The estimating unit uses the feature value of each of the partial regions to estimate the disease s…
- Who is the assignee on this patent?
- Toshiba Medical Sys Corp, Univ Kobe Nat Univ Corp, Canon Medical Systems Corp
- What technology area does this patent fall under?
- Primary CPC classification A61B5/4842. Mapped technology areas include Human Necessities.
- When was this patent published?
- Publication date Tue Sep 17 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).