Canon Kabushiki Kaisha

Canon Medical Systems Corporation

Yuta Narukiyo

Fukashi Yamazaki

Itaru Otomaru

An information processing apparatus includes an acquisition unit configured to acquire first information including information indicating a position and a size of a target in training image data and second information including information indicating a constraint regarding a region of the target, and a generation unit configured to generate a likelihood map indicating likeliness of being the target as ground-truth image data corresponding to the training image data based on the first information and the second information.

Information processing apparatus, method, and storage medium to generate a likelihood map

An information processing apparatus includes a first acquisition unit configured to acquire first region information about an object on first two-dimensional tomographic image data orthogonal to a first axis of three-dimensional tomographic image data, a second acquisition unit configured to acquire second region information about the object on second two-dimensional tomographic image data orthogonal to a second axis different from the first axis of the three-dimensional tomographic image data, and a generation unit configured to generate a three-dimensional likelihood map representing objectness of the object as three-dimensional ground truth image data corresponding to the three-dimensional tomographic image data based on the first region information and the second region information.

Information processing apparatus, information processing method, and non-transitory storage medium

An image processing apparatus includes at least one memory storing a program, and at least one processor which, by executing the program, causes the image processing apparatus to acquire an image of a target object, and perform correction to rotate the image so that an orientation of the target object in the image aligns with a representative direction, which is determined for type of the target object.

Image processing apparatus, image processing method and non-transitory computer readable medium

An apparatus includes one or more processors that function as an image acquisition unit configured to acquire a training image and a correct answer image, a generation unit configured to input the training image to a neural network to generate an output image, an error acquisition unit configured to subject each of the correct answer image and the output image to processing for adjusting a color signal value, and acquire an error between the correct answer image and the output image that have been subjected to the processing, and an update unit configured to update parameters of the neural network based on the acquired error.

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Saitama, Japan

Yuta Narukiyo