Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a medical image subject to a labeling process. The processing circuitry is configured to receive a labeling step in a labeling task performed on the medical image. The processing circuitry is configured, while the labeling step in the labeling task is received, to analyze a local characteristic of a target structure serving as a labeling target in the medical image. The processing circuitry is configured to generate a usable tool set corresponding to the labeling task performed on the medical image, on the basis of the local characteristic.

Abstract: An image processing method according to an embodiment includes a specifying step, an inference step, and an integration step. In the specifying step, a first portion including a region corresponding to an anatomical site of a target and a second portion including a region different from the anatomical site are specified in the image. In the inference step, by using a deep learning model, segmentation of the region corresponding to the anatomical site is performed on the first portion and segmentation of the region different from the anatomical site is performed on the second portion, or classification and detection of an image including the region corresponding to the anatomical site is performed on the first portion and classification and detection of an image including the region different from the anatomical site is performed on the second portion. In the integration step, results of the respective processes are integrated for output.

Abstract: A model training device according to an embodiment of the present disclosure includes processing circuitry. The processing circuitry is configured to obtain an initial learning model by learning a data set including medical images as learning data. The processing circuitry is configured to evaluate the initial learning model by using a global metric, so as to obtain error data sets each having an outlier from among a plurality of data sets used in the evaluation. The processing circuitry is configured to obtain a plurality of error data set groups by grouping the plurality of error data sets while using a local metric. The processing circuitry is configured to specify model training information with respect to each of the error data set groups.

Abstract: A medical image diagnostic apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain image data which is generated by scanning a brain of a subject; select a target region from the image data; extract a connected region of which a brain function is associated with a brain function of the target region, as an additional region; and output scan target region including the target region and the additional region.

Abstract: A medical image diagnosis apparatus according to an embodiment includes an imager, a storage, and processing circuitry. The storage stores therein a correspondence relationship between each of disease patterns and scans used for performing a differential diagnosis process on the disease pattern. The processing circuitry obtains, based on image data acquired by a first scan, a disease pattern having a possibility of being applicable to the subject and a first index value indicating a degree of applicability of the disease pattern. The processing circuitry outputs information indicating the disease pattern to a display when it is possible to perform the differential diagnosis process based on the first index value and outputs an imaging condition used for performing a second scan based on the correspondence relationship and the disease pattern having the possibility when it is not possible to perform the differential diagnosis process based on the first index value.

Abstract: A medical image diagnosis apparatus according to an embodiment includes an imager, a storage, and processing circuitry. The storage stores therein a correspondence relationship between each of disease patterns and scans used for performing a differential diagnosis process on the disease pattern. The processing circuitry obtains, based on image data acquired by a first scan, a disease pattern having a possibility of being applicable to the subject and a first index value indicating a degree of applicability of the disease pattern. The processing circuitry outputs information indicating the disease pattern to a display when it is possible to perform the differential diagnosis process based on the first index value and outputs an imaging condition used for performing a second scan based on the correspondence relationship and the disease pattern having the possibility when it is not possible to perform the differential diagnosis process based on the first index value.

Abstract: A medical image diagnostic apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain image data which is generated by scanning a brain of a subject; select a target region from the image data; extract a connected region of which a brain function is associated with a brain function of the target region, as an additional region; and output scan target region including the target region and the additional region.

Abstract: A medical information processing apparatus according to an embodiment includes determination circuitry and display control circuitry. The determination circuitry determines whether there is a change in an amount of individual metabolites among a plurality of metabolites in magnetic resonance spectroscopy within a part worthy of attention set on medical image data by comparing the amount of each of the plurality of metabolites with a reference value corresponding to each metabolite. The display control circuitry display identification information by associating therewith the part worthy of attention, the identification information identifying whether the amount of each of the plurality of metabolites is changed.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry implements registration on a medical image and each of a plurality of reference images. The processing circuitry performs deformation on the medical image based on a result of the registration. The processing circuitry sets a first region of interest on the deformed medical image. The processing circuitry sets on at least two of the plurality of reference images, a second region of interest corresponding to the first region of interest. The processing circuitry retrieves from the reference images on which the second region of interest is set, a reference image similar to an image in the first region of interest.

Abstract: A medical information processing apparatus according to an embodiment includes determination circuitry and display control circuitry. The determination circuitry determines whether there is a change in an amount of individual metabolites among a plurality of metabolites in magnetic resonance spectroscopy within a part worthy of attention set on medical image data by comparing the amount of each of the plurality of metabolites with a reference value corresponding to each metabolite. The display control circuitry display identification information by associating therewith the part worthy of attention, the identification information identifying whether the amount of each of the plurality of metabolites is changed.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry implements registration on a medical image and each of a plurality of reference images. The processing circuitry performs deformation on the medical image based on a result of the registration. The processing circuitry sets a first region of interest on the deformed medical image. The processing circuitry sets on at least two of the plurality of reference images, a second region of interest corresponding to the first region of interest. The processing circuitry retrieves from the reference images on which the second region of interest is set, a reference image similar to an image in the first region of interest.