Abstract: Devices and techniques are generally described for a speech processing routing architecture. First input data representing an input request may be received. First data including a semantic interpretation of the input request may be determined. Metadata of the first input data may be determined. The metadata may identify an entity associated with the input request. In some examples, a query may be sent to a first component. The query may include the metadata. In some examples, second data that identifies a first skill associated with the entity may be received from the first component. In various examples, the first skill may be selected for processing the first input data based at least in part on the first data and the second data.

Abstract: Devices and techniques are generally described for a speech processing routing architecture. First input data representing an input request may be received. First data including a semantic interpretation of the input request may be determined. Metadata of the first input data may be determined. The metadata may identify an entity associated with the input request. In some examples, a query may be sent to a first component. The query may include the metadata. In some examples, second data that identifies a first skill associated with the entity may be received from the first component. In various examples, the first skill may be selected for processing the first input data based at least in part on the first data and the second data.

Abstract: In some implementations, legibility of an image may be automatically determined based, at least in part, on text contained in the image. For example, image analysis techniques may be used to identify text components in an image. One or more features of each text component may be determined for use in assessing the legibility of the text component. For example, a classifier trained on the one or more features may provide a confidence level indicative of the legibility of each text component. The confidence level for each of the text components may be compared to a legibility threshold for determining whether the text component is legible or illegible. Based, at least in part, on the determination as to how much of the text in the image is legible or illegible, an overall legibility of the image may be assessed.

Abstract: While performing prostate brachytherapy in which radioactive seeds are implanted into the prostate, both X-ray and transrectal ultrasound (TRUS) data are collected. The X-ray data indicate all of the implanted seeds, but not their relative position within the prostate. The TRUS data correspond to both axial and longitudinal ultrasound images. A subset of the implanted seeds can be automatically (or manually) detected in the TRUS data (using longitudinal ultrasound images), and the prostate is indicated in the TRUS data (using axial ultrasound images). Registration is performed between the X-ray and TRUS data, thereby identifying the disposition of all implanted seeds within the prostate, enabling dosimetry to be intraoperatively determined. A medical practitioner can thus determine whether and where to implant additional seeds to achieve a desired optimal dosage and do so before the prostate brachytherapy procedure is concluded.