AT&T Intellectual Property I, LP

Konica Minolta, Inc.

Icad, Inc.

Muhammad Sabir

Brian Lois

Weiping Liu

Anoop Viswanath

Christopher Tsai

James Gavillet

Otis Jennings

Satya Vivek Kanakadandila

John Schinter

Vinu Varghese

Abhay Dabholkar

David S Harding

Jeffrey C Wehnes

Shinsuke Katsuhara

Satoshi Kasai

James H Pike

Jeffrey B Saxon

Sridharan Kamalakanan

The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include based on a graphical representation of a layout of a geographic area, identifying, by equipment comprising a processor, a feature of the geographic area relevant to propagation of a signal propagated from a signal point on the layout, resulting in an identified feature. The method can further comprise based on the identified feature and the signal point, generating, by the equipment, a feature map for the geographic area by employing a neural network, wherein the feature map comprises a map depicting estimates of the propagation of the signal at locations within the geographic area.

Modeling radio wave propagation in a fifth generation (5G) or other next generation network

A method and apparatus for providing equipment maintenance are disclosed. The method receives data that is captured by at least one sensor deployed at a location, wherein the data is associated with at least one parameter of an equipment, receives atmospheric data for the location, monitors the at least one parameter of the equipment and the atmospheric data for the location, determines for the at least one parameter, whether an update to a risk measure associated with the equipment is needed, when a deviation from a baseline is detected that is greater than a threshold for a maximum deviation from the baseline, performs the update to the risk measure associated with the equipment, when the update to the risk measure associated with the equipment is needed, and generates a ticket for a remedial action based on the risk measure, when the risk measure triggers the scheduling of the remedial action.

Method and apparatus for providing equipment maintenance via a network

Lung segmentation and bone suppression techniques are helpful pre-processing steps prior to radiographic analyzes of the human thorax, as may occur during cancer screenings and other medical examinations. Autonomous lung segmentation may remove spurious boundary pixels from a radiographic image, as well as identify and refine lung boundaries. Thereafter, autonomous bone suppression may identify clavicle, posterior rib, and anterior rib bones using various image processing techniques, including warping and edge detection. The identified clavicle, posterior rib, and anterior rib bones may then be suppressed from the radiographic image to yield a segmented, bone suppressed radiographic image.

Lung segmentation and bone suppression techniques for radiographic images

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Allen, TX, United States of America

Muhammad Sabir