Abstract: Systems and methods to improve the optical character recognition of records, and in particular health records, are provided. An image of a medical record is received, and an initial optical image recognition (OCR) on the image is performed to identify text information. The OCR signal quality may be measured, and areas of insufficient OCR signal quality may be isolated. The signal quality is determined by a weighted average of semantic analysis of the resulting text, and/or OCR accuracy measures. The OCR process may be repeated on the isolated regions of lower signal quality, each time using a different OCR transform, until all regions are completed with a desired degree of signal quality (accuracy). All the regions of the document may then be recompiled into a single document for outputting.

Abstract: Systems and methods to improve the optical character recognition of records, and in particular health records, are provided. An image of a medical record is received, and an initial optical image recognition (OCR) on the image is performed to identify text information. The OCR signal quality may be measured, and areas of insufficient OCR signal quality may be isolated. The signal quality is determined by a weighted average of semantic analysis of the resulting text, and/or OCR accuracy measures. The OCR process may be repeated on the isolated regions of lower signal quality, each time using a different OCR transform, until all regions are completed with a desired degree of signal quality (accuracy). All the regions of the document may then be recompiled into a single document for outputting.

Abstract: Systems and methods to improve the optical character recognition of records, and in particular health records, are provided. An image of a medical record is received, and an initial optical image recognition (OCR) on the image is performed to identify text information. The OCR signal quality may be measured, and areas of insufficient OCR signal quality may be isolated. The signal quality is determined by a weighted average of semantic analysis of the resulting text, and/or OCR accuracy measures. The OCR process may be repeated on the isolated regions of lower signal quality, each time using a different OCR transform, until all regions are completed with a desired degree of signal quality (accuracy). All the regions of the document may then be recompiled into a single document for outputting.

Abstract: Disclosed are systems and methods for assessing images in applications such as microscopic scanning of a slide having light emitting objects. In certain embodiments, such scanning can involve objects such as sequencing beads disposed on the slide to facilitate biological analysis such as nucleic acid sequencing. Also disclosed are certain embodiments where images of light emitting objects are assessed for image quality so as to facilitate a feedback response such as a corrective action. In certain embodiments, such assessment and correction can be performed in real-time during the scanning process, and can include re-acquisition of the assessed image. Also disclosed are certain embodiments where such assessment and correction can be triggered dynamically during the scan, or before start of the scan, so as to enhance the scanning performance, including scanning time and throughput.

Abstract: Systems and methods to improve the optical character recognition of records, and in particular health records, are provided. An image of a medical record is received, and an initial optical image recognition (OCR) on the image is performed to identify text information. The OCR signal quality may be measured, and areas of insufficient OCR signal quality may be isolated. The signal quality is determined by a weighted average of semantic analysis of the resulting text, and/or OCR accuracy measures. The OCR process may be repeated on the isolated regions of lower signal quality, each time using a different OCR transform, until all regions are completed with a desired degree of signal quality (accuracy). All the regions of the document may then be recompiled into a single document for outputting.

Abstract: Disclosed are systems and methods for assessing images in applications such as microscopic scanning of a slide having light emitting objects. In certain embodiments, such scanning can involve objects such as sequencing beads disposed on the slide to facilitate biological analysis such as nucleic acid sequencing. Also disclosed are certain embodiments where images of light emitting objects are assessed for image quality so as to facilitate a feedback response such as a corrective action. In certain embodiments, such assessment and correction can be performed in real-time during the scanning process, and can include re-acquisition of the assessed image. Also disclosed are certain embodiments where such assessment and correction can be triggered dynamically during the scan, or before start of the scan, so as to enhance the scanning performance, including scanning time and throughput.

Abstract: Disclosed are systems and methods for assessing images in applications such as microscopic scanning of a slide having light emitting objects. In certain embodiments, such scanning can involve objects such as sequencing beads disposed on the slide to facilitate biological analysis such as nucleic acid sequencing. Also disclosed are certain embodiments where images of light emitting objects are assessed for image quality so as to facilitate a feedback response such as a corrective action. In certain embodiments, such assessment and correction can be performed in real-time during the scanning process, and can include re-acquisition of the assessed image. Also disclosed are certain embodiments where such assessment and correction can be triggered dynamically during the scan, or before start of the scan, so as to enhance the scanning performance, including scanning time and throughput.

Abstract: Disclosed are systems and methods for assessing images in applications such as microscopic scanning of a slide having light emitting objects. In certain embodiments, such scanning can involve objects such as sequencing beads disposed on the slide to facilitate biological analysis such as nucleic acid sequencing. Also disclosed are certain embodiments where images of light emitting objects are assessed for image quality so as to facilitate a feedback response such as a corrective action. In certain embodiments, such assessment and correction can be performed in real-time during the scanning process, and can include re-acquisition of the assessed image. Also disclosed are certain embodiments where such assessment and correction can be triggered dynamically during the scan, or before start of the scan, so as to enhance the scanning performance, including scanning time and throughput.

Abstract: A method and apparatus for generating a computer model from scan data from a patient, comprising: (1) acquiring the scan data from the patient; (2) selecting a plurality of key frames from the scan data; (3) hand segmenting the selected key frames, whereby to identify specific anatomical structures; (4) automatically generating segmented intervening frames for the regions between the key frames using an interpolation process; (5) merging the automatically segmented intervening frames with the hand segmented key frames so as to generate a complete set of segmented frames; (6) obtaining a first measurement of a selected feature of the complete set of segmented frames; (7) hand segmenting at least one additional key frame and replacing a corresponding intervening frame with said one additional key frame within the complete set of segmented frames; (8) re-interpolating the set of segmented frames based upon the updated set of key frames; (9) obtaining a second measurement of the selected feature of the re-comp

Abstract: A method and apparatus for generating a computer model from scan data from a patient, comprising: (1) acquiring the scan data from the patient; (2) selecting a plurality of key frames from the scan data; (3) hand segmenting the selected key frames, whereby to identify specific anatomical structures; (4) automatically generating segmented intervening frames for the regions between the key frames using an interpolation process; (5) merging the automatically segmented intervening frames with the hand segmented key frames so as to generate a complete set of segmented frames; (6) obtaining a first measurement of a selected feature of the complete set of segmented frames; (7) hand segmenting at least one additional key frame and replacing a corresponding intervening frame with said one additional key frame within the complete set of segmented frames; (8) re-interpolating the set of segmented frames based upon the updated set of key frames; (9) obtaining a second measurement of the selected feature of the re-comp

Abstract: A method and apparatus for generating a computer model from scan data from a patient, comprising: (1) acquiring the scan data from the patient; (2) selecting a plurality of key frames from the scan data; (3) hand segmenting the selected key frames, whereby to identify specific anatomical structures; (4) automatically generating segmented intervening frames for the regions between the key frames using an interpolation process; (5) merging the automatically segmented intervening frames with the hand segmented key frames so as to generate a complete set of segmented frames; (6) obtaining a first measurement of a selected feature of the complete set of segmented frames; (7) hand segmenting at least one additional key frame and replacing a corresponding intervening frame with said one additional key frame within the complete set of segmented frames; (8) re-interpolating the set of segmented frames based upon the updated set of key frames; (9) obtaining a second measurement of the selected feature of the re-comp

Abstract: A method and apparatus for generating a computer model from scan data from a patient, comprising: (1) acquiring the scan data from the patient; (2) selecting a plurality of key frames from the scan data; (3) hand segmenting the selected key frames, whereby to identify specific anatomical structures; (4) automatically generating segmented intervening frames for the regions between the key frames using an interpolation process; (5) merging the automatically segmented intervening frames with the hand segmented key frames so as to generate a complete set of segmented frames; (6) obtaining a first measurement of a selected feature of the complete set of segmented frames; (7) hand segmenting at least one additional key frame and replacing a corresponding intervening frame with said one additional key frame within the complete set of segmented frames; (8) re-interpolating the set of segmented frames based upon the updated set of key frames; (9) obtaining a second measurement of the selected feature of the re-compute