Abstract: A method of identifying potential lesions in mammographic images may include operations executed by an image processing device including receiving first image data of a first type, receiving second image data of a second type, registering the first image data and the second image data by employing a CNN using pixel level registration or object level registration, determining whether a candidate detection of a lesion exists in both the first image data and the second image data based on the registering of the first image data and the second image data, and generating display output identifying the lesion.

Abstract: A method for characterizing and locating abnormal tissue in an area of interest in a body is provided. The method may include receiving first and second modality examination data including a plurality of first and second modality examination data segments of the area of interest and determining, by evaluating each first and second modality examination data segment, a set of modality detection candidates based on the first and second modality examination data and a first and second modality feature likelihood model.

Abstract: A method of identifying potential lesions in mammographic images may include operations executed by an image processing device including receiving first image data of a first type, receiving second image data of a second type, registering the first image data and the second image data by employing a CNN using pixel level registration or object level registration, determining whether a candidate detection of a lesion exists in both the first image data and the second image data based on the registering of the first image data and the second image data, and generating display output identifying the lesion.

Abstract: A method for characterizing and locating abnormal tissue in an area of interest in a body is provided. The method may include receiving first and second modality examination data including a plurality of first and second modality examination data segments of the area of interest and determining, by evaluating each first and second modality examination data segment, a set of modality detection candidates based on the first and second modality examination data and a first and second modality feature likelihood model.

Abstract: An ice analyzer includes processing circuitry configured to receive a radiometer image including a geographic area including ice, receive a radar image including at least a portion of the geographic area, perform ice/water discrimination of the radiometer image and the radar image, generate a passive ice/water mask and an active ice/water mask based on the ice/water discrimination, merge the passive ice/water mask and the active ice/water mask into a typing mask, and type the ice based on the typing mask.

Abstract: An ice analyzer includes processing circuitry configured to receive a radiometer image including a geographic area including ice, receive a radar image including at least a portion of the geographic area, perform ice/water discrimination of the radiometer image and the radar image, generate a passive ice/water mask and an active ice/water mask based on the ice/water discrimination, merge the passive ice/water mask and the active ice/water mask into a typing mask, and type the ice based on the typing mask.

Abstract: A detection system includes processing circuitry configured to receive overhead image data divided into a plurality of image chips and receive metadata associated with the image data. The metadata includes ground sample distance information associated with the image data and provides an indication of ground area represented by each pixel within the image chips. The processing circuitry is further configured to screen the image chips for candidate detections based on a multi-stage screening process and determine whether to classify candidate detections as target detections. The process includes an intensity based screening stage, an object extraction stage that employs binary shape features to extract objects from detect positions identified based on an output of the intensity based screening stage, and a candidate detection identification stage employing template based and structural feature criteria to identify candidate detections from an output of the object extraction stage.

Abstract: A detection system includes processing circuitry configured to receive overhead image data divided into a plurality of image chips and receive metadata associated with the image data. The metadata includes ground sample distance information associated with the image data and provides an indication of ground area represented by each pixel within the image chips. The processing circuitry is further configured to screen the image chips for candidate detections based on a multi-stage screening process and determine whether to classify candidate detections as target detections. The process includes an intensity based screening stage, an object extraction stage that employs binary shape features to extract objects from detect positions identified based on an output of the intensity based screening stage, and a candidate detection identification stage employing template based and structural feature criteria to identify candidate detections from an output of the object extraction stage.

Abstract: A system and method of automatically creating a NIMA certified line drawing from a National Imagery Transmission Format (NITF) image file. A grayscale (electro-optical) image and its associated metadata from a NITF file is input into the computer based system. Pre-screening operations are performed on the metadata prior to image processing to ensure that National Imagery and Mapping Agency (NIMA) requirements and criteria are met. Image processing algorithms then perform filtering, encoding, edge detection, and custom edge pattern classification procedures to create a declassified line drawing. The line drawing can then be saved in any number of standard commercial file formats.

Abstract: A table with a first work surface and a second lower work surface on a trundle table assembly. The first work surface having a table lip extending upward around the perimeter of the table while the trundle table assembly work surface does not have a lip on either end. The trundle table assembly providing a second and lower work surface so that caregivers can avoid lifting heavier children or children in wheelchairs to the height necessary to clear the table lip around the first work surface. One use for the table with trundle table assembly is a diaper changing table.

Abstract: A system and method of automatically creating a NIMA certified line drawing from a National Imagery Transmission Format (NITF) image file. A grayscale (electro-optical) image and its associated metadata from a NITF file is input into the computer based system. Pre-screening operations are performed on the metadata prior to image processing to ensure that National Imagery and Mapping Agency (NIMA) requirements and criteria are met. Image processing algorithms then perform filtering, encoding, edge detection, and custom edge pattern classification procedures to create a declassified line drawing. The line drawing can then be saved in any number of standard commercial file formats.

Abstract: A solid effervescent antacid formulation comprising as primary ingredients from about 35 to about 53 percent by weight of calcium carbonate, from about 0 to about 14 percent by weight of magnesium carbonate, from about 3.5 to about 7 percent by weight of a bicarbonate salt, from about 3.5 to about 7 percent by weight of malic acid and from about 21 to about 35 percent by weight of a bulking agent.

Abstract: A solid effervescent antacid formulation comprising as primary ingredients from about 35 to about 53 percent by weight of calcium carbonate, from about 0 to about 14 percent by weight of magnesium carbonate, from about 3.5 to about 7 percent by weight of a bicarbonate salt, from about 3.5 to about 7 percent by weight of malic acid and from about 21 to about 35 percent by weight of a bulking agent.