Abstract: The display panel comprises a display region and a bonding region, the bonding region comprises a display substrate and a first adhesive layer, a polarizing layer, a second adhesive layer and a cover plate layer arranged sequentially on a light exit side of the display substrate, the first adhesive layer and the polarizing layer are disposed in a lead region, a bending region and a composite circuit region in the bonding region, the cover plate layer is provided with a cover plate shield layer, at least one of the display substrate, the first adhesive layer and the polarizing layer is provided with a bonding shield layer, the distance between an edge of the bonding shield layer and the boundary of the display region is less than the distance between an edge of the cover plate shield layer and the boundary of the display region.

Abstract: A flexible display module includes a flexible display substrate, a cover layer provided on a display side of the flexible display substrate, and a support layer on a side of the flexible display substrate facing away from the display side; the cover layer includes a first flexible film material and a first graphene layer on a surface of the first flexible film material facing away from the flexible display substrate; the support layer includes a rigid material layer and a first flexible material layer, the rigid material layer includes a hollowed region and non-hollowed regions located on two sides of the hollowed region, a width of the hollowed region is larger than a width of the bending region of the flexible display module, the first flexible material layer is provided on a surface of the rigid material layer facing the flexible display substrate and is filled in the hollowed region.

Abstract: Provides are a display panel, a display module, and a display device. The display panel includes an opening region, a barrier region surrounding the opening region, a display region surrounding the barrier region, a base substrate, a crack blocking structure surrounding the opening region; a barrier wall surrounding the crack blocking structure. The barrier wall and the crack blocking structure include a first metal layer and a first organic layer, an edge of side of the first metal layer away from the base substrate is indented relative to an edge of side of the first organic layer proximal to the base substrate. The barrier wall and the crack blocking structure includes a deep groove penetrating through a film layer between the first organic layer and the base substrate, the deep groove surrounds the opening region. The first organic layer fills the deep groove and is connected to the base substrate.

Abstract: The present disclosure provides a pixel driving circuit, a display panel and methods for driving the same. The pixel driving circuit includes: at least two driving sub-circuits, each configured to generate driving current based on a compensated data signal; at least two light-emitting control sub-circuits coupled to the at least two driving sub-circuits respectively, each of the at least two light-emitting control sub-circuits is configured to output driving current generated by one of the at least two driving sub-circuit coupled thereto; a writing control sub-circuit electrically coupled to the at least two driving sub-circuits and a data writing sub-circuit; and the data writing sub-circuit configured to compensate for a data signal and write the compensated data signal into the at least two driving sub-circuits sequentially under control of the writing control sub-circuit.

Abstract: The present disclosure provides a pixel driving circuit, a display panel and methods for driving the same. The pixel driving circuit includes: at least two driving sub-circuits, each configured to generate driving current based on a compensated data signal; at least two light-emitting control sub-circuits coupled to the at least two driving sub-circuits respectively, each of the at least two light-emitting control sub-circuits is configured to output driving current generated by one of the at least two driving sub-circuit coupled thereto; a writing control sub-circuit electrically coupled to the at least two driving sub-circuits and a data writing sub-circuit; and the data writing sub-circuit configured to compensate for a data signal and write the compensated data signal into the at least two driving sub-circuits sequentially under control of the writing control sub-circuit.

Abstract: This disclosure relates to digital image segmentation, region of interest identification, and object recognition. This disclosure describes a method, a system, for image segmentation based on fully convolutional neural network including an expansion neural network and contraction neural network. The various convolutional and deconvolution layers of the neural networks are architected to include a coarse-to-fine residual learning module and learning paths, as well as a dense convolution module to extract auto context features and to facilitate fast, efficient, and accurate training of the neural networks capable of producing prediction masks of regions of interest. While the disclosed method and system are applicable for general image segmentation and object detection/identification, they are particularly suitable for organ, tissue, and lesion segmentation and detection in medical images.

Abstract: This disclosure relates to digital image segmentation, region of interest identification, and object recognition. This disclosure describes a method, a system, for image segmentation based on fully convolutional neural network including an expansion neural network and contraction neural network. The various convolutional and deconvolution layers of the neural networks are architected to include a coarse-to-fine residual learning module and learning paths, as well as a dense convolution module to extract auto context features and to facilitate fast, efficient, and accurate training of the neural networks capable of producing prediction masks of regions of interest. While the disclosed method and system are applicable for general image segmentation and object detection/identification, they are particularly suitable for organ, tissue, and lesion segmentation and detection in medical images.