发明名称 |
TISSUE OBJECT-BASED MACHINE LEARNING SYSTEM FOR AUTOMATED SCORING OF DIGITAL WHOLE SLIDES |
摘要 |
A facility includes systems and methods for providing a learning-based image analysis approach for the automated detection, classification, and counting of objects (e.g., cell nuclei) within digitized pathology tissue slides. The facility trains an object classifier using a plurality of reference sample slides. Subsequently, and in response to receiving a scanned image of a slide containing tissue data, the facility separates the whole slide into a background region and a tissue region using image segmentation techniques. The facility identifies dominant color regions within the tissue data and identifies seed points within those regions using, for example, a radial symmetry based approach. Based at least in part on those seed points, the facility generates a tessellation, each distinct area in the tessellation corresponding to a distinct detected object. These objects are then classified using the previously-trained classifier. The facility uses the classified objects to score slides. |
申请公布号 |
WO2014140085(A1) |
申请公布日期 |
2014.09.18 |
申请号 |
WO2014EP54808 |
申请日期 |
2014.03.12 |
申请人 |
VENTANA MEDICAL SYSTEMS, INC.;F. HOFFMANN-LA ROCHE AG |
发明人 |
CHIVATE, SUJIT SIDDHESHWAR;CHUKKA, SRINIVAS;PATIL, SUHAS HANMANTRAO;SABATA, BIKASH;SARKAR, ANINDYA;SERTEL, OLCAY |
分类号 |
G06T7/00 |
主分类号 |
G06T7/00 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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