Apparatus for the identification of free-lying cells
First Claim
1. An apparatus for measuring reliability for object segmentation of a biological specimen comprising:
- (a) means for acquiring at least one image of the biological specimen having an image output;
(b) means for image segmentation connected to the image output to detect objects of interest, wherein the means for image segmentation has a segmented object output;
(c) means for feature extraction connected to the segmented object output, wherein the means for feature extraction has a segmentation reliability feature output; and
(d) means for classification of objects connected to the segmentation reliability feature output having a classified output, where the classified output comprises a measure of reliability of the segmented object output.
8 Assignments
0 Petitions
Accused Products
Abstract
A free-lying cell classifier. An automated microscope system comprising a computer and high speed processing field of view processors identifies free-lying cells. An image of a biological specimen is obtained and the image is segmented to create a set of binary masks. The binary masks are used by a feature calculator to compute the features that characterize objects of interest including free-lying cells, artifacts and other biological objects. The objects are classified to identify their type, their normality or abnormality or their identification as an artifact. The results are summarized and reported. A stain evaluation of the slide is performed as well as a typicality evaluation. The robustness of the measurement is also quantified as a classification confidence value. The free-lying cell evaluation is used by an automated cytology system to classify a biological specimen slide.
-
Citations
17 Claims
-
1. An apparatus for measuring reliability for object segmentation of a biological specimen comprising:
-
(a) means for acquiring at least one image of the biological specimen having an image output; (b) means for image segmentation connected to the image output to detect objects of interest, wherein the means for image segmentation has a segmented object output; (c) means for feature extraction connected to the segmented object output, wherein the means for feature extraction has a segmentation reliability feature output; and (d) means for classification of objects connected to the segmentation reliability feature output having a classified output, where the classified output comprises a measure of reliability of the segmented object output. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
-
Specification