Abstract: Embodiments include semiconductor packages and a method of forming the semiconductor packages. A semiconductor package includes a package substrate with a top surface, a corner portion, and a plurality of solder balls on the top surface of the package substrate. The semiconductor package also includes a pattern on the corner portion of the package substrate. The pattern may have a width substantially equal to a width of the solder balls. The pattern may also include a continuous line having solder materials. The semiconductor package may include a plurality of conductive pads on the package substrate. The conductive pads may be coupled to the pattern. The pattern may have a z-height that is substantially equal to a z-height of the solder balls, and have one or more outer edges, where the outer edges of the pattern are sidewalls. The sidewalls of the pattern may be substantially vertical or tapered sidewalls.

Abstract: Embodiments include semiconductor packages and a method of forming the semiconductor packages. A semiconductor package includes a package substrate with a top surface, a corner portion, and a plurality of solder balls on the top surface of the package substrate. The semiconductor package also includes a pattern on the corner portion of the package substrate. The pattern may have a width substantially equal to a width of the solder balls. The pattern may also include a continuous line having solder materials. The semiconductor package may include a plurality of conductive pads on the package substrate. The conductive pads may be coupled to the pattern. The pattern may have a z-height that is substantially equal to a z-height of the solder balls, and have one or more outer edges, where the outer edges of the pattern are sidewalls. The sidewalls of the pattern may be substantially vertical or tapered sidewalls.

Abstract: A computer-implemented method, system and non-transitory computer readable storage medium for classifying a region of interest of a subject, including receiving imaging data comprising at least one image element, the imaging data comprising the region of interest of the subject; providing a plurality of atlases, each of the plurality of atlases having a candidate region that corresponds to the region of interest of the imaging data, each of the plurality of atlases having at least one image element with associated location and property information; co-registering the plurality of atlases to the imaging data, using at least one processor; assigning a probability to generate a labeling parameter for the region of interest, the probability being associated with each atlas; and classifying the region of interest of the subject based on the assigning.

Abstract: A computer-implemented method, system and non-transitory computer readable storage medium for classifying a region of interest of a subject, including receiving imaging data comprising at least one image element, the imaging data comprising the region of interest of the subject; providing a plurality of atlases, each of the plurality of atlases having a candidate region that corresponds to the region of interest of the imaging data, each of the plurality of atlases having at least one image element with associated location and property information; co-registering the plurality of atlases to the imaging data, using at least one processor; assigning a probability to generate a labeling parameter for the region of interest, the probability being associated with each atlas; and classifying the region of interest of the subject based on the assigning.