Abstract: An image pre-processing method and an image processing apparatus for a fundoscopic image are provided. A region of interest (ROI) is obtained from a fundoscopic image to generate a first image. The ROI is focused on an eyeball in the fundoscopic image. A smoothing process is performed on the first image to generate a second image. A value difference between neighboring pixels in the second image is increased to generate a third image.

Abstract: A gear module includes a rotating cylinder, a first planetary gear set, a second planetary gear set, a concave-convex structure, and a limit bearing set. The first planetary gear set is accommodated in the rotating cylinder and includes a driven gear; the second planetary gear set includes a positioning frame, second planetary gears pivoted to a positioning frame, a driven gear engaged with the second planetary gears, and the positioning frame has a through hole; the concave-convex structure includes a convex column extended from the rotating cylinder and a concave hole formed on the positioning frame, the convex column is plugged into the concave hole; the limit bearing set includes a first ball bearing sheathing the driven gear and mounted between the driven gear and the through hole, and a second ball bearing sheathing the convex column and mounted between the convex column and the concave hole.

Abstract: A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for computer aided diagnosis of a medical image. One of the methods includes processing the medical image through a machine learning (ML) model to provide a first feature representation of the medical image, wherein the ML model includes an input layer and a pooling layer, wherein the first feature representation is an output from the pooling layer, generating, by the ML model, a sequence of second feature representations of the medical image from the first feature representation of the medical image, wherein each second feature representation in the sequence of the second feature representations having a lower dimension than the first feature representation, and generating, by the ML model, an output as a last second feature representation in the sequence of the second feature representations.

Abstract: An image pre-processing method and an image processing apparatus for a fundoscopic image are provided. A region of interest (ROI) is obtained from a fundoscopic image to generate a first image. The ROI is focused on an eyeball in the fundoscopic image. A smoothing process is performed on the first image to generate a second image. A value difference between neighboring pixels in the second image is increased to generate a third image.

Abstract: The disclosure provides a method for obtaining a fluorescent fundus image, the method including the following steps: receiving a to-be-detected color fundus image; obtaining a color feature of the to-be-detected color fundus image; encoding the color feature of the to-be-detected color fundus image according to a fundus image transformation model to transform the to-be-detected color fundus image into a to-be-detected fluorescent fundus image; and outputting the to-be-detected fluorescent fundus image.

Abstract: The disclosure provides a method for obtaining a fluorescent fundus image, the method including the following steps: receiving a to-be-detected color fundus image; obtaining a color feature of the to-be-detected color fundus image; encoding the color feature of the to-be-detected color fundus image according to a fundus image transformation model to transform the to-be-detected color fundus image into a to-be-detected fluorescent fundus image; and outputting the to-be-detected fluorescent fundus image.

Abstract: A server device includes a chassis and at least one server assembly. The chassis has at least one accommodating space, at least one first surface, at least one second surface, at least one opening and at least one front side. The first surface and the second surface face each other, and respectively located at two opposite sides of the accommodating space. The opening is located at the front side and connected to the accommodating space. The server assembly is slidably disposed in the accommodating space from the opening. The server assembly includes a first server and a second server. The first server is closer to the first surface than the second server. The first surface and the front side are orthogonal to a reference plane. An orthogonal projection of the first server on the reference plane partially overlaps an orthogonal projection of the second server on the reference plane.

Abstract: A server rack configured for a plurality of servers is disclosed, in which each of the servers has a power supply circuit board. The server rack includes: a case having a first face and a second face opposed to each other, the first face having an opening for the servers to be arranged in the case in an orientation; a power supply module provided on the second face of the case; and a power transmission assembly composed of a busbar provided on the second face in the orientation and electrically connected to the power supply module; and a plurality of electrical connectors provided on the busbar and coupled respectively with the power supply circuit boards of the servers. Through the power transmission assembly, the servers may be powered in a centralized way by the power supply module.

Abstract: A server rack configured for a plurality of servers is disclosed, in which each of the servers has a power supply circuit board. The server rack includes: a case having a first face and a second face opposed to each other, the first face having an opening for the servers to be arranged in the case in an orientation; a power supply module provided on the second face of the case; and a power transmission assembly composed of a busbar provided on the second face in the orientation and electrically connected to the power supply module; and a plurality of electrical connectors provided on the busbar and coupled respectively with the power supply circuit boards of the servers. Through the power transmission assembly, the servers may be powered in a centralized way by the power supply module.