Abstract: The present inventive concept provided for context aware speech transcription. The method includes obtaining speech corpora for a target domain. A corrected speech corpora is created by editing misused words in the speech corpora with correct words for the target domain. The training sets are prepared based on the speech corpora and corrected speech corpora, and an optimal percentage of the training sets to use for accurate transcription of speech related to the target domain is determined.

Abstract: Within a first image in a set of images comprising a panoramic view of a scene, a first boundary feature is identified using a model. Within the first boundary feature, a first set of points is selected. Within a second image in the set of images, a second boundary feature is identified using the model. Within the second boundary feature, a second set of points is selected. A set of parameters of a geometrical shape including the first set of points and the second set of points is determined. From the first image and the second image, a panoramic image is formed, the first image placed within the panoramic image according to the position of the first image on the geometrical shape, the second image placed in the panoramic image according to the position of the second image on the geometrical shape.

Abstract: Systems and methods are provided for recognizing pathological images captured by alternate image capturing devices. In embodiments, a computer-implemented method includes: obtaining, by a computing device, a classifier generated based on a plurality of standardized training pathology images associated with a known classification and generated by a first type of device; receiving, by the computing device, an alternate pathology image captured by a second type of device; standardizing, by the computing device, the alternate pathology image; determining, by the computing device, a classification of the alternate pathology image based on applying the generated classifier; and outputting, by the computing device, information regarding the determined classification to aid in diagnosis of a medical condition represented by the alternate pathology image.

Abstract: Within a first image in a set of images comprising a panoramic view of a scene, a first boundary feature is identified using a model. Within the first boundary feature, a first set of points is selected. Within a second image in the set of images, a second boundary feature is identified using the model. Within the second boundary feature, a second set of points is selected. A set of parameters of a geometrical shape including the first set of points and the second set of points is determined. From the first image and the second image, a panoramic image is formed, the first image placed within the panoramic image according to the position of the first image on the geometrical shape, the second image placed in the panoramic image according to the position of the second image on the geometrical shape.

Abstract: Systems and methods are provided for recognizing pathological images captured by alternate image capturing devices. In embodiments, a computer-implemented method includes: obtaining, by a computing device, a classifier generated based on a plurality of standardized training pathology images associated with a known classification and generated by a first type of device; receiving, by the computing device, an alternate pathology image captured by a second type of device; standardizing, by the computing device, the alternate pathology image; determining, by the computing device, a classification of the alternate pathology image based on applying the generated classifier; and outputting, by the computing device, information regarding the determined classification to aid in diagnosis of a medical condition represented by the alternate pathology image.

Abstract: Systems and methods are provided for recognizing pathological images captured by alternate image capturing devices. In embodiments, a computer-implemented method includes: obtaining, by a computing device, a classifier generated based on a plurality of standardized training pathology images associated with a known classification and generated by a first type of device; receiving, by the computing device, an alternate pathology image captured by a second type of device; standardizing, by the computing device, the alternate pathology image; determining, by the computing device, a classification of the alternate pathology image based on applying the generated classifier; and outputting, by the computing device, information regarding the determined classification to aid in diagnosis of a medical condition represented by the alternate pathology image.

Abstract: Systems and methods are provided for recognizing pathological images captured by alternate image capturing devices. In embodiments, a computer-implemented method includes: obtaining, by a computing device, a classifier generated based on a plurality of standardized training pathology images associated with a known classification and generated by a first type of device; receiving, by the computing device, an alternate pathology image captured by a second type of device; standardizing, by the computing device, the alternate pathology image; determining, by the computing device, a classification of the alternate pathology image based on applying the generated classifier; and outputting, by the computing device, information regarding the determined classification to aid in diagnosis of a medical condition represented by the alternate pathology image.