发明名称 Segmenting biological structures from microscopy images
摘要 A method performed by one or more processors, includes: receiving an image to be segmented into one or more representations of one or more biological structures; accessing data representing a set of biological structures that are derived from other biological structures delineated in a training image, wherein the training image is associated with a level of modality that corresponds to a level of modality associated with the image to be segmented; computing a normalized cross correlation of the received image against one or more of the biological structures in the set of biological structures; generating, based on computing, seed data representing an estimate of a spatial organization of the one or more biological structures in the received image; and segmenting, based on a normalized cross correction of the received image to the seed data, the received image into the one or more representations of the one or more biological structures.
申请公布号 US9443128(B2) 申请公布日期 2016.09.13
申请号 US201214348342 申请日期 2012.09.27
申请人 Carnegie Mellon University 发明人 Chen Cheng;Rohde Gustavo Kunde;Ozolek John A.;Wang Wei
分类号 G06K9/00;G06T7/00 主分类号 G06K9/00
代理机构 Fish & Richardson P.C. 代理人 Fish & Richardson P.C.
主权项 1. A method performed by one or more processors, comprising: receiving an image to be segmented into one or more representations of one or more biological structures; accessing data representing a set of biological structures that are derived from other biological structures delineated in a training image, wherein the training image is associated with a level of modality that corresponds to a level of modality associated with the image to be segmented; computing a normalized cross correlation of the received image against one or more of the biological structures in the set of biological structures; generating, based on computing, seed data representing an estimate of a spatial organization of the one or more biological structures in the received image; and segmenting, based on a normalized cross correlation of the received image to the seed data, the received image into the one or more representations of the one or more biological structures.
地址 Pittsburgh PA US