Abstract: An apparatus comprises processing circuitry configured to: receive input text; apply a trained model to the input text to determine a sequence of tokens, wherein the sequence of tokens represents a text output, wherein the trained model is configured to perform a repeating next token selection process comprising selecting a next token in the sequence based on at least one previous token in the sequence, the next token selection process comprises selecting a plurality of candidate tokens and the processing circuitry is configured to filter the plurality of candidate tokens to exclude one or more of the candidate tokens if they match at least one exclusion criterion.

Abstract: An apparatus comprising processing circuitry configured to: obtain image data representing one or more medical images of a region of interest and processing said image data to identify one or more abnormal portions of the image by applying a first pre-determined model to the obtained image data; obtain medical text data corresponding to the one or more medical images of the region of interest and process said medical text data to identify one or more entities and their associated attributes by applying at least one further pre-determined model to the obtained medical text data; perform a matching process between the one or more identified abnormal portions and the one or more identified entities to obtain matched data comprising groupings of at least one identified abnormal portions and at least one entity, wherein the matching process is based on at least one or more properties of the identified abnormal portions of the image data and at least one or more of the attributes associated with the identified enti

Abstract: An apparatus for producing constrained medical image data, the apparatus including processing circuitry configured to: receive medical image data that includes or is obtained from scan data representing an anatomical region in which a sub-region is enhanced; predict, using a trained model, mask data from the medical imaging data, wherein the mask data is representative of the anatomical region without enhancement of the sub-region; and predict, using the trained model or a further trained model, subtraction data from the same medical image data, the subtraction data being representative of the same anatomical region, and the processing circuitry being further configured to apply at least one constraint to obtain constrained subtraction data.

Abstract: Certain embodiments provide a medical image processing apparatus comprising processing circuitry configured to: receive a thermography image, or a pair of medical images from which a thermography image is obtainable; estimate a temperature field corresponding to the thermography image or pair of medical images; and generate a corrected thermography image based on the thermography image or pair of medical images and on the estimated temperature field.

Abstract: A medical image processing apparatus including processing circuitry configured to: obtain from medical imaging measurements, observations of one or more vector or tensor valued fields as projected from one or more 2D acquisition planes; use an optimisation procedure to determine from the observations a superset of 3D fields (which may be scalar, vector, or tensor) via a solution ansatz constrained by a system of partial differential equations, and output the plurality of these fields.

Abstract: A medical image processing apparatus comprises processing circuitry configured to: receive medical image data that comprises or is obtained from scan data representing an anatomical region in which a sub-region is enhanced; predict, using a trained model, mask data from the medical imaging data, wherein the mask data is representative of the anatomical region without enhancement of the sub-region; and predict, using the trained model or a further trained model, subtraction data from the same medical image data, wherein the subtraction data is representative of the same anatomical region; wherein the processing circuitry is further configured to apply at least one constraint to obtain constrained subtraction data.

Abstract: A medical image processing apparatus including processing circuitry configured to: obtain from medical imaging measurements, observations of one or more vector or tensor valued fields as projected from one or more 2D acquisition planes; use an optimisation procedure to determine from the observations a superset of 3D fields (which may be scalar, vector, or tensor) via a solution ansatz constrained by a system of partial differential equations, and output the plurality of these fields.