Abstract: Embodiments of the present disclosure relate to generating explanation maps for explaining convolutional neural networks through attribution-based input sampling and block-wise feature aggregation. An example of a disclosed method for generating an explanation map for a convolutional neural network (CNN) includes obtaining an input image resulting in an output determination of the CNN, selecting a plurality of feature maps extracted from a plurality of pooling layers of the CNN, generating a plurality of attribution masks based on the plurality of feature maps, applying the generated attribution masks to the input image to obtain a plurality of visualization maps, and generating an explanation map of the output determination of the CNN based on the plurality of visualization maps.

Abstract: Embodiments of the present disclosure relate to generating explanation maps for explaining convolutional neural networks through attribution-based input sampling and block-wise feature aggregation. An example of a disclosed method for generating an explanation map for a convolutional neural network (CNN) includes obtaining an input image resulting in an output determination of the CNN, selecting a plurality of feature maps extracted from a plurality of pooling layers of the CNN, generating a plurality of attribution masks based on the plurality of feature maps, applying the generated attribution masks to the input image to obtain a plurality of visualization maps, and generating an explanation map of the output determination of the CNN based on the plurality of visualization maps.

Abstract: A 3D image is provided for processing. A current resolution is set to a first coarse resolution and the current data is set to a known current data. A process is then iterated and within each iteration of the process the following is performed: pre-processing the ultrasound image in accordance with the current resolution; providing the pre-processed ultrasound image and the current data to a trained system for extracting therefrom objects of interest at the current resolution, the objects of interest extracted with a likelihood above a known threshold; determining data relating to each extracted object of interest to result in first current data; when the current resolution is a finest resolution, stopping the iterative process; and when the current resolution is other than a finest resolution, setting the current resolution to a finer resolution and returning to the start of the iterative process.

Abstract: Various image diagnostic systems, and methods of operating thereof, are disclosed herein. Example embodiments relate to operating the image diagnostic system to identify one or more tissue types within an image patch according to a hierarchical histological taxonomy, identifying an image patch associated with normal tissue, generating a pixel-level segmented image patch for an image patch, generating an encoded image patch for an image patch of at least one tissue, searching for one or more histopathological images, and assigning an image patch to one or more pathological cases.

Abstract: The present invention provides, in at least one aspect, methods and systems that detect at least one face in at least one digital image, determine and store area co-ordinates of a location of the at least one detected face in the at least one digital image, apply at least one transformation to the at least one detected face to create at least one portrait of the at least one detected face, rotate the at least one portrait at least until the at least one portrait is shown in a vertical orientation and a pair of eyes of the at least one face shown in the at least one portrait are positioned on a horizontal plane; and store the rotated at least one portrait.

Abstract: The present invention provides, in at least one aspect, methods and systems that detect at least one face in at least one digital image, determine and store area co-ordinates of a location of the at least one detected face in the at least one digital image, apply at least one transformation to the at least one detected face to create at least one portrait of the at least one detected face, rotate the at least one portrait at least until the at least one portrait is shown in a vertical orientation and a pair of eyes of the at least one face shown in the at least one portrait are positioned on a horizontal plane; and store the rotated at least one portrait.

Abstract: The present invention provides, in at least one aspect, methods and systems that detect at least one face in at least one digital image, determine and store area co-ordinates of a location of the at least one detected face in the at least one digital image, apply at least one transformation to the at least one detected face to create at least one portrait of the at least one detected face, rotate the at least one portrait at least until the at least one portrait is shown in a vertical orientation and a pair of eyes of the at least one face shown in the at least one portrait are positioned on a horizontal plane; and store the rotated at least one portrait.

Abstract: The present invention provides, in at least one aspect, methods and systems that detect at least one face in at least one digital image, determine and store area co-ordinates of a location of the at least one detected face in the at least one digital image, apply at least one transformation to the at least one detected face to create at least one portrait of the at least one detected face, rotate the at least one portrait at least until the at least one portrait is shown in a vertical orientation and a pair of eyes of the at least one face shown in the at least one portrait are positioned on a horizontal plane; and store the rotated at least one portrait.

Abstract: The presented invention provides a detection method for free fluid in the human body. The preprocessing procedure is applied to reduce the speckle noise and enhance tissue volumetric pixels (voxels) intensity levels to make tissue and non-tissue voxels more distinguishable from each other. An initial surface selection step provides flexibility to either manually or automatically selecting a seed point to segment fluid regions in the volumetric data. A kidney and liver organ detection procedure provides a method for determining whether the detected fluid region is a normal fluid-carrying body organ or if it is due to a medical condition as a free fluid region. A combinational approach using a 3-dimensional Snake and Level-Set is utilized to accurately detect fluid regions in the volumetric ultrasound data.

Abstract: The present invention provides, in at least one aspect, methods and systems that detect at least one face in at least one digital image, determine and store area co-ordinates of a location of the at least one detected face in the at least one digital image, apply at least one transformation to the at least one detected face to create at least one portrait of the at least one detected face, rotate the at least one portrait at least until the at least one portrait is shown in a vertical orientation and a pair of eyes of the at least one face shown in the at least one portrait are positioned on a horizontal plane; and store the rotated at least one portrait.

Abstract: The present invention solves the problem of automatically recognizing multiple known faces in photos or videos on a local computer storage device (on a home computer). It further allows for sophisticated organization and presentation of the photos or videos based on the graphical selection of known faces (by selecting thumbnail images of people). It also solves the problem of sharing or distributing photos or videos in an automated fashion between ‘friends’ who are also using the same software that enables the invention. It further solves the problem of allowing a user of the invention to review the results of the automatic face detection, eye detection, and face recognition methods and to correct any errors resulting from the automated process.

Abstract: The present invention relates to a method and system for secure coding of arbitrarily shaped visual objects. More specifically, a system and method are provided for encoding an image, characterized by the steps of selecting one or more objects in the image from the background of the image, separating the one or more objects from the background, and compressing and encrypting, or facilitating the compression and encryption, by one or more computer processors, each of the one or more objects using a single coding scheme. The coding scheme also is operable to decrypt and decode each of the objects.

Abstract: The present invention solves the problem of automatically recognizing multiple known faces in photos or videos on a local computer storage device (on a home computer). It further allows for sophisticated organization and presentation of the photos or videos based on the graphical selection of known faces (by selecting thumbnail images of people). It also solves the problem of sharing or distributing photos or videos in an automated fashion between ‘friends’ who are also using the same software that enables the invention. It further solves the problem of allowing a user of the invention to review the results of the automatic face detection, eye detection, and face recognition methods and to correct any errors resulting from the automated process.