Abstract: Disclosed herein are an adhesion blocking element, a three-dimensional printing device and a three-dimensional printing method. The adhesion blocking element comprises: one light-transmittable main body comprising a first surface and a second surface which are disposed opposite to each other, and side faces connecting the first surface and the second surface; and a plurality of microstructures arranged on the main body, wherein each microstructure has one cavity formed in the main body and one first open face which is arranged on the first surface of the main body and communicated to the cavity. The present invention decreases the adhesion between the adhesion blocking element and the cured layer by improving the structure of the adhesion blocking element itself, and eliminates the negative pressure adsorption between the cured layer and the adhesion blocking element, so that it is easier to peel the adhesion blocking element off from the cured layer.

Abstract: Systems and methods for temporal action localization of video data are described. A feature representation extracted from video data has a temporal dimension and a spatial dimension. The feature representation is self-aligned in the spatial dimension. Spatial multi-sampling is performed to obtain a plurality of sparse samples of the self-aligned representation along the spatial dimension, and the multi-sampled representation is fused with the self-aligned representation. Attention-based context information aggregation is applied on the fused representation to obtain a spatially refined representation. Local temporal information aggregation is applied on the self-aligned representation to obtain a temporally refined representation. Action localization is performed on a concatenation of the spatially refined representation and the temporally refined representation.

Abstract: An example method for segmenting an object contained in an image includes receiving an image including a plurality of pixels, transforming a plurality of characteristics of a pixel into respective neutrosophic set domains, calculating a neutrosophic similarity score for the pixel based on the respective neutrosophic set domains for the characteristics of the pixel, segmenting an object from background of the image using a region growing algorithm based on the neutrosophic similarity score for the pixel, and receiving a margin adjustment related to the object segmented from the background of the image.

Abstract: Disclosed herein are an adhesion blocking element, a three-dimensional printing device and a three-dimensional printing method. The adhesion blocking element comprises: one light-transmittable main body comprising a first surface and a second surface which are disposed opposite to each other, and side faces connecting the first surface and the second surface; and a plurality of microstructures arranged on the main body, wherein each microstructure has one cavity formed in the main body and one first open face which is arranged on the first surface of the main body and communicated to the cavity. The present invention decreases the adhesion between the adhesion blocking element and the cured layer by improving the structure of the adhesion blocking element itself, and eliminates the negative pressure adsorption between the cured layer and the adhesion blocking element, so that it is easier to peel the adhesion blocking element off from the cured layer.

Abstract: An example method for segmenting an object contained in an image includes receiving an image including a plurality of pixels, transforming a plurality of characteristics of a pixel into respective neutrosophic set domains, calculating a neutrosophic similarity score for the pixel based on the respective neutrosophic set domains for the characteristics of the pixel, segmenting an object from background of the image using a region growing algorithm based on the neutrosophic similarity score for the pixel, and receiving a margin adjustment related to the object segmented from the background of the image.

Abstract: An example method for segmenting an object contained in an image includes receiving an image including a plurality of pixels, transforming a plurality of characteristics of a pixel into respective neutrosophic set domains, calculating a neutrosophic similarity score for the pixel based on the respective neutrosophic set domains for the characteristics of the pixel, segmenting an object from background of the image using a region growing algorithm based on the neutrosophic similarity score for the pixel, and receiving a margin adjustment related to the object segmented from the background of the image.

Abstract: An example method for segmenting an object contained in an image includes receiving an image including a plurality of pixels, transforming a plurality of characteristics of a pixel into respective neutrosophic set domains, calculating a neutrosophic similarity score for the pixel based on the respective neutrosophic set domains for the characteristics of the pixel, segmenting an object from background of the image using a region growing algorithm based on the neutrosophic similarity score for the pixel, and receiving a margin adjustment related to the object segmented from the background of the image.

Abstract: An example method for segmenting an object contained in an image includes receiving an image including a plurality of pixels, transforming a plurality of characteristics of a pixel into respective neutrosophic set domains, calculating a neutrosophic similarity score for the pixel based on the respective neutrosophic set domains for the characteristics of the pixel, segmenting an object from background of the image using a region growing algorithm based on the neutrosophic similarity score for the pixel, and receiving a margin adjustment related to the object segmented from the background of the image.

Abstract: A visualization system includes an imaging device, a processing circuit, and a display device. The imaging device is configured to acquire image data relating to an object. The processing circuit is configured to generate a three-dimensional object image of the object based on the image data and generate a two-dimensional object image of the object by projecting a cross-section of the three-dimensional object image onto a plane. The display device is configured to display the three-dimensional object image of the object and display the two-dimensional object image of the object on the plane.

Abstract: An example method for segmenting an object contained in an image includes receiving an image including a plurality of pixels, transforming a plurality of characteristics of a pixel into respective neutrosophic set domains, calculating a neutrosophic similarity score for the pixel based on the respective neutrosophic set domains for the characteristics of the pixel, segmenting an object from background of the image using a region growing algorithm based on the neutrosophic similarity score for the pixel, and receiving a margin adjustment related to the object segmented from the background of the image.

Abstract: A medical imaging system includes an imaging device configured to scan a region of interest to acquire at least one of a first image including a first plurality of pixels and a second image including a second plurality of pixels, a processing unit configured to receive the first and second images, calculate respective first neutrosophic similarity scores for each of the first plurality of pixels of the first image, calculate respective second neutrosophic similarity scores for each of the second plurality of pixels of the second image, perform a template matching algorithm based on differences between the respective first and second neutrosophic similarity scores for each of the first and second plurality, respectively, to determine one or more registration parameters, and register the first and second images using the one or more registration parameters, and a display output configured to allow the registered first and second images to be displayed.

Abstract: A medical imaging system includes an imaging device configured to scan a region of interest to acquire at least one of a first image including a first plurality of pixels and a second image including a second plurality of pixels, a processing unit configured to receive the first and second images, calculate respective first neutrosophic similarity scores for each of the first plurality of pixels of the first image, calculate respective second neutrosophic similarity scores for each of the second plurality of pixels of the second image, perform a template matching algorithm based on differences between the respective first and second neutrosophic similarity scores for each of the first and second plurality, respectively, to determine one or more registration parameters, and register the first and second images using the one or more registration parameters, and a display output configured to allow the registered first and second images to be displayed.