Abstract: In an embodiment, an intelligent system includes an electronic circuit configured to execute a neural network, to detect at least one feature in an image of a body portion while executing the neural network, and to determine a respective position and a respective class of each of the detected at least one feature while executing the neural network. For example, such a system can execute a neural network to detect at least one feature in an image of a lung, to determine a respective position within the image of each detected feature, and to classify each of the detected features as one of the following: A-line, B-line, pleural line, consolidation, and pleural effusion.

Abstract: Embodiments disclosed herein are directed to systems and methods for determining if a fluid is present in a body region. The systems and methods include using ultrasound systems having operational parameters that provide ultrasound echo maps having high resolution B-line artefacts.

Abstract: In an embodiment, an intelligent system includes an electronic circuit configured to execute a neural network, to detect at least one feature in an image of a body portion while executing the neural network, and to determine a respective position and a respective class of each of the detected at least one feature while executing the neural network. For example, such a system can execute a neural network to detect at least one feature in an image of a lung, to determine a respective position within the image of each detected feature, and to classify each of the detected features as one of the following: A-line, B-line, pleural line, consolidation, and pleural effusion.

Abstract: Embodiments disclosed herein are directed to systems and methods for determining if a fluid is present in a body region. The systems and methods include using ultrasound systems having operational parameters that provide ultrasound echo maps having high resolution B-line artefacts.

Abstract: One or more implementations allow for detecting B-lines in ultrasound video and images for diagnostic purposes through analysis of Q-mode images for B-line detection.

Abstract: In an embodiment, an intelligent system includes an electronic circuit configured to execute a neural network, to detect at least one feature in an image of a body portion while executing the neural network, and to determine a respective position and a respective class of each of the detected at least one feature while executing the neural network. For example, such a system can execute a neural network to detect at least one feature in an image of a lung, to determine a respective position within the image of each detected feature, and to classify each of the detected features as one of the following: A-line, B-line, pleural line, consolidation, and pleural effusion.

Abstract: One or more implementations allow for detecting B-lines in ultrasound video and images for diagnostic purposes through analysis of Q-mode images for B-line detection.

Abstract: Embodiments disclosed herein are directed to systems and methods for determining if a fluid is present in a body region. The systems and methods include using ultrasound systems having operational parameters that provide ultrasound echo maps having high resolution B-line artefacts.