Konica Minolta, Inc.

Keisuke Hayata

Jun Ohmiya

Makiko Urabe

An image recognition system includes sensors and a server. Each of the sensors includes a processing unit to perform (i) first image recognition on time-series images chronologically captured, (ii) a first estimation as to whether a predetermined event has occurred by a target of the images, and (iii) generation of transmission data based on the first estimation that the predetermined event occurred. The transmission data may include a feature map of a multilayered neural network or image portions, which include the imaged target respectively clipped from the time-series images. The server may obtain the transmission data and perform second image recognition with greater accuracy than that of the sensors, to perform a second estimation as to whether the predetermined event has occurred.

Image recognition system and image recognition method to estimate occurrence of an event

An ultrasound image processing apparatus includes a structural object extracting unit, an abnormal candidate spot detecting unit and a cine information generating unit. The structural object extracting unit extracts a structural object in an ultrasound image of each frame from ultrasound image data of a plurality of continuous frames. The abnormal candidate spot detecting unit detects an abnormal candidate spot in the extracted structural object. The cine information generating unit generates cine information where the detected abnormal candidate spot is made to be associated with a frame in which the abnormal candidate spot is detected.

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Takatsuki, Japan

Keisuke Hayata