公开(公告)号：EP4339962A1

公开(公告)日：2024-03-20

申请号：EP21944219.1

申请日：2021-06-04

申请人： Nagasaka, Toru

发明人： Nagasaka, Toru

IPC分类号： G16H30/00

摘要： An image analysis method includes a calculation unit that calculates a colocalization value indicating colocalization between two target cell objects among a plurality of target cell objects and an output unit that outputs output data acquired by using the colocalization value to an external, wherein the calculation unit calculates the colocalization value by using a first calculation that includes multiplying a first matching rate specified for a first target cell object and a second matching rate specified for a second target cell object and a second calculation that includes dividing a calculated value acquired by the first calculation by first distance squared, the first distance being a distance between the first target cell object and the second target cell object.

公开(公告)号：EP3699863A1

公开(公告)日：2020-08-26

申请号：EP17929925.0

申请日：2017-10-24

申请人： Nagasaka, Toru

发明人： Nagasaka, Toru

IPC分类号： G06T7/00 ,  G01N33/48

摘要： An image analysis device may obtain target image data representing a target image which is an analysis target, specify (m×n) partial images sequentially by scanning the target image data, wherein the (m×n) partial images are constituted of m partial images aligned along a first direction and n partial images aligned along a second direction, generate first probability data by using the (m×n) partial images and the first object data in the memory, and reduce the target image data so as to generate reduced image data. The image analysis device may execute image analysis according to a convolutional neural network by using the reduced image data as K pieces of channel data corresponding to K channels and using the first probability data as one piece of channel data corresponding to one channel, and output a result of the image analysis.

公开(公告)号：EP3640888A1

公开(公告)日：2020-04-22

申请号：EP17916884.4

申请日：2017-07-07

申请人： Nagasaka, Toru

发明人： Nagasaka, Toru

IPC分类号： G06T7/00

摘要： An image analysis device may acquire cell image data representing a cell image including a cell object, specify a plurality of partial images from the cell image, and determine, for each of the plurality of partial images, whether or not this partial image includes the cell object. The image analysis device may generate first specific data including a plurality of values arranged at a plurality of positions corresponding to the plurality of partial images. The plurality of values includes a presence value arranged at a position corresponding to a partial image that is determined as including the cell object. The image analysis device may specify a plurality of partial data from the first specific data, count a number of cell object included in the cell image by using the plurality of partial data and the plurality of pattern data, and outputs a count result. Specifically, the image analysis device counts "one" as a number of cell object corresponding to the target partial data despite the target partial data including two or more presence values.

公开(公告)号：EP3624053A1

公开(公告)日：2020-03-18

申请号：EP17909404.0

申请日：2017-05-09

申请人： Nagasaka, Toru

发明人： Nagasaka, Toru

IPC分类号： G06T7/00 ,  G01N33/48 ,  G06T7/60

摘要： An image analysis device may include a memory storing learning data for executing image analysis, and may obtain cell image data representing a cell image including a plurality of cell objects, sequentially identify plural pieces of partial image data from the cell image data, sequentially execute a center determination process on each of the plural pieces of partial image data, classify at least one cell corresponding to at least one cell object among a plurality of cell objects by using results of the center determination process on the plural pieces of partial image data and classification data included in learning data, and output a classification result.