Abstract: A train dispatching control method includes obtaining a train marshalling instruction, determining target carriages corresponding to a marshalling quantity based on carriage positioning information corresponding to to-be-dispatched carriages parked on to-be-dispatched parking lines, and controlling all the target carriages to drive from the to-be-dispatched parking lines to a marshalling dispatch parking line, to form a target train. The train marshalling instruction includes the marshalling quantity.

Abstract: An image processing apparatus comprises processing circuitry. The processing circuitry is configured to select a specified cross section from three dimensional (3D) image data. And the processing circuitry is configured to perform control so as to form a curve corresponding to a curve delineated on the specified cross section, from the specified cross section to a cross section within a specified range, so as to form curved ace on the 3D image data.

Abstract: The disclosure provides a text information processing method. Training textual data is determined according to text information, and characters and strings are identified from the training textual data. For each of the identified characters, a respective independent probability of appearance among the training textual data is calculated. For each of the identified strings, a respective joint probability of appearance among the training textual data is calculated. Whether a particular string of the identified strings corresponds to a candidate neologism is determined according to independent probabilities of various characters of the particular string and the joint probability of the particular string. Moreover, the candidate neologism is determined as a neologism when the candidate neologism is not in a preset dictionary and a joint probability of the candidate neologism is greater than a preset threshold.

Abstract: Provided are a deuterium-substituted dehydrophenylahistin-like compound, preparation method thereof and use in a preparation of antitumor drugs. The deuterium-substituted dehydrophenylahistin-like compound has a structure of general formula (I), and a synthesis method thereof comprises: firstly conducting a condensation reaction of diacetyldiketopiperazine and an aldehyde intermediate a or a deuterated aldehyde compound b to form a heterocyclic compound c or a deuterium-containing heterocyclic compound d, which is then subjected to a condensation reaction with benzaldehyde and a deuterium-substituted benzaldehyde-like compound to form the deuterium-substituted dehydrophenylahistin-like compound. Also provided are a highly effective deuterated aldehyde intermediate with a high deuterium substitution rate and a deuterium-containing heterocycle intermediate, and a synthesis method thereof.

Abstract: A medical image processing apparatus according to an embodiment includes acquisition circuitry, extraction circuitry, calculation circuitry, and determination circuitry. The acquisition circuitry configured to acquire a first photographic image and a second photographic image that contain tree structures of a subject. The extraction circuitry configured to extract branch points of each of the tree structures in the first photographic image and the second photographic image. The calculation circuitry configured to calculate the similarities between the branch points in the first photographic image and the branch points in the second photographic image based on the feature quantities of the branch points. The determination circuitry configured to determine the corresponding path between the branch points in the first photographic image and the branch points in the second photographic image based on the similarities between the branch points calculated by the calculation circuitry.

Abstract: A medical image processing apparatus according to an embodiment includes a reception unit and a detection unit. The reception unit is configured to receive two points specified on at least one sagittal image. The detection unit is configured to detect an intervertebral disc by evaluating a luminance distribution within a region that includes the two points.

Abstract: The disclosure provides a text information processing method. Training textual data is determined according to text information, and characters and strings are identified from the training textual data. For each of the identified characters, a respective independent probability of appearance among the training textual data is calculated. For each of the identified strings, a respective joint probability of appearance among the training textual data is calculated. Whether a particular string of the identified strings corresponds to a candidate neologism is determined according to independent probabilities of various characters of the particular string and the joint probability of the particular string. Moreover, the candidate neologism is determined as a neologism when the candidate neologism is not in a preset dictionary and a joint probability of the candidate neologism is greater than a preset threshold.

Abstract: Provided are a deuterium-substituted dehydrophenylahistin-like compound, preparation method thereof and use in a preparation of antitumor drugs. The deuterium-substituted dehydrophenylahistin-like compound has a structure of general formula (I), and a synthesis method thereof comprises: firstly conducting a condensation reaction of diacetyldiketopiperazine and an aldehyde intermediate a or a deuterated aldehyde compound b to form a heterocyclic compound c or a deuterium-containing heterocyclic compound d, which is then subjected to a condensation reaction with benzaldehyde and a deuterium-substituted benzaldehyde-like compound to form the deuterium-substituted dehydrophenylahistin-like compound. Also provided are a highly effective deuterated aldehyde intermediate with a high deuterium substitution rate and a deuterium-containing heterocycle intermediate, and a synthesis method thereof.

Abstract: A medical image processing apparatus according to an embodiment includes setting circuitry, calculation circuitry, and recognition circuitry. The setting circuitry is configured to set a region of interest (ROI) of each of a plurality of sagittal plane images of medical images resulting from scanning an examinee. The calculation circuitry is configured to calculate an evaluation index based on a bipolarity feature of each block in the ROI related to change of pixel values and a similarity feature among the blocks. The recognition circuitry is configured to select the ROI according to the calculation result of the calculation circuitry and recognize a sagittal plane image in which the selected ROI is located as a target sagittal plane image of a median sagittal plane passing through a spine.

Abstract: A medical image processing apparatus according to one embodiment includes obtaining circuitry, calculating circuitry, and transforming circuitry. The obtaining circuitry takes an expiration time phase or an inspiration time phase as a benchmark time phase and obtains a benchmark line structure, which is a line structure of a bronchus in a lung field, from a medical image at the benchmark time phase. The calculating circuitry calculates a motion amount between a component depicted in the medical image at the benchmark time phase and a component depicted in a medical image at at least one other time phase than the benchmark time phase. The transforming circuitry transforms the benchmark line structure based on the motion amount to obtain an estimated line structure, which is estimated as a line structure at the at least one other time phase.

Abstract: A scanning apparatus according to an embodiment includes a first scanning control unit, a first determination unit, a second scanning control unit, a second determination unit, and a third scanning control unit. The first scanning control unit obtains at least one first slice image of the leg in an approximate coronal plane direction. The first determination unit determines a direction of a gap between a thighbone and a shinbone in the at least one first slice image. The second scanning control unit obtains at least one second slice image of the leg in a direction vertical to the direction of the gap in the at least one first slice image. The second determination unit determines an axial plane direction according to the at least one second slice image. The third scanning control unit obtains at least one slice image of the leg in the axial plane direction.

Abstract: An image processing apparatus comprises processing circuitry. The processing circuitry is configured to select a specified cross section from three dimensional (3D) image data. And the processing circuitry is configured to perform control so as to form a curve corresponding to a curve delineated on the specified cross section, from the specified cross section to a cross section within a specified range, so as to form curved ace on the 3D image data.

Abstract: A medical image processing apparatus according to an embodiment includes a reception unit and a detection unit. The reception unit is configured to receive two points specified on at least one sagittal image. The detection unit is configured to detect an intervertebral disc by evaluating a luminance distribution within a region that includes the two points.

Abstract: A medical image processing apparatus according to one embodiment includes obtaining circuitry, calculating circuitry, and transforming circuitry. The obtaining circuitry takes an expiration time phase or an inspiration time phase as a benchmark time phase and obtains a benchmark line structure, which is a line structure of a bronchus in a lung field, from a medical image at the benchmark time phase. The calculating circuitry calculates a motion amount between a component depicted in the medical image at the benchmark time phase and a component depicted in a medical image at at least one other time phase than the benchmark time phase. The transforming circuitry transforms the benchmark line structure based on the motion amount to obtain an estimated line structure, which is estimated as a line structure at the at least one other time phase.

Abstract: A medical image processing apparatus according to an embodiment includes setting circuitry, calculation circuitry, and recognition circuitry. The setting circuitry is configured to set a region of interest (ROI) of each of a plurality of sagittal plane images of medical images resulting from scanning an examinee. The calculation circuitry is configured to calculate an evaluation index based on a bipolarity feature of each block in the ROI related to change of pixel values and a similarity feature among the blocks. The recognition circuitry is configured to select the ROI according to the calculation result of the calculation circuitry and recognize a sagittal plane image in which the selected ROI is located as a target sagittal plane image of a median sagittal plane passing through a spine.

Abstract: A medical image processing apparatus according to an embodiment includes acquisition circuitry, extraction circuitry, calculation circuitry, and determination circuitry. The acquisition circuitry configured to acquire a first photographic image and a second photographic image that contain tree structures of a subject. The extraction circuitry configured to extract branch points of each of the tree structures in the first photographic image and the second photographic image. The calculation circuitry configured to calculate the similarities between the branch points in the first photographic image and the branch points in the second photographic image based on the feature quantities of the branch points. The determination circuitry configured to determine the corresponding path between the branch points in the first photographic image and the branch points in the second photographic image based on the similarities between the branch points calculated by the calculation circuitry.

Abstract: A scanning apparatus according to an embodiment includes a first scanning control unit, a first determination unit, a second scanning control unit, a second determination unit, and a third scanning control unit. The first scanning control unit obtains at least one first slice image of the leg in an approximate coronal plane direction. The first determination unit determines a direction of a gap between a thighbone and a shinbone in the at least one first slice image. The second scanning control unit obtains at least one second slice image of the leg in a direction vertical to the direction of the gap in the at least one first slice image. The second determination unit determines an axial plane direction according to the at least one second slice image. The third scanning control unit obtains at least one slice image of the leg in the axial plane direction.