Abstract: A replaceable electronic device protecting casing includes a front covering pressure plate having an outer frame; a plurality of first screwing holes arranged around the outer frame; a transparent protective film installed in an inner side of a hollow portion of the outer frame; a plurality of second screwing holes arranged around an outer side of the transparent protective film; a waterproof strip attached on an inner side of the transparent protective film; a back seat including a seat body forming a frame body; a plurality of third screwing holes arranged around the frame body; a plurality of screwing units installed in the first screwing holes; and wherein each of the screwing units passes through a respective one first screwing hole, a respective one second screwing hole and a respective one third screwing hole to assemble the front covering pressure plate, the transparent protective film and the back seat.

Abstract: Provided are a system and a method for cardiovascular risk prediction, where artificial intelligence is utilized to perform segmentation on non-contrast or contrast medical images to identify precise regions of the heart, pericardium, and aorta of a subject, such that the adipose tissue volume and calcium score can be derived from the medical images to assist in cardiovascular risk prediction. Also provided is a computer readable medium for storing a computer executable code to implement the method.

Abstract: A multifunctional cooling and supporting apparatus for a tablet electronic device comprises a protective case including an upper cover and a lower cover assembled to the upper cover; a hollow space formed between the upper cover and the lower cover; the hollow space serving to accommodate the tablet electronic device; the upper cover having an upper opening; the protective case having a waterproof structure which seals the hollow space and prevents external liquid from penetrating the hollow space; and wherein the upper cover is installed with a heat conducting plate which closes and seals the upper opening of the upper cover; the heat conducting plate has a thermal conductive structure; an outer side of the heat conducting plate is exposed from the upper opening; an inner side of the heat conducting plate serves to contact a back end of the tablet electronic device.

Abstract: A medical image analyzing system and a medical image analyzing method are provided and include inputting at least one patient image into a first model of a neural network module to obtain a result having determined positions and ranges of an organ and a tumor of the patient image; inputting the result into a second model of a first analysis module and a third model of a second analysis module, respectively, to obtain at least one first prediction value and at least one second prediction value corresponding to the patient image; and outputting a determined result based on the first prediction value and the second prediction value. Further, processes between the first model, the second model and the third model can be automated, thereby improving identification rate of pancreatic cancer.

Abstract: A system for obstacle detection adapted to a self-guiding machine is provided. The system includes a controller, a linear light source and a light sensor. The linear light source and the light sensor are set apart at a distance. When the linear light source emits an indicator light being a vertical linear light projected onto a path the self-guiding machine travels toward, the light sensor senses the indicator light. The vertical linear light is segmented into a first segment projected to a ground and a second segment projected to a floating obstacle when the self-guiding machine approaches the floating obstacle with a height from the ground and the indicator light is projected to the floating obstacle, in which the second segment of the light sensed by the light sensor is determined as the floating obstacle in front of the self-guiding machine.

Abstract: A medical image analyzing system and a medical image analyzing method are provided and include inputting at least one patient image into a first model of a first neural network module to obtain a result having determined positions and ranges of an organ and a tumor of the patient image; inputting the result into a plurality of second models of a second neural network module, respectively, to obtain a plurality of prediction values corresponding to each of the plurality of second models and a model number predicting having cancer in the plurality of prediction values; and outputting a determined result based on the model number predicting having cancer and a number threshold value. Further, processes between the first model and the second models can be automated, thereby improving identification rate of pancreatic cancer.

Abstract: There is provided a moving robot including a first light source module and a second light source module respectively project a first light section and a second light section, which are vertical light sections, in front of a moving direction, wherein the first light section and the second light section cross with each other at a predetermined distance in front of the moving robot so as to eliminate a detection dead zone between the first light source module and the second light source module in front of the moving robot to avoid collision with an object during operation.

Abstract: There is provided a moving robot including a first light source module and a second light source module respectively project a first light section and a second light section, which are vertical light sections, in front of a moving direction, wherein the first light section and the second light section cross with each other at a predetermined distance in front of the moving robot so as to eliminate a detection dead zone between the first light source module and the second light source module in front of the moving robot to avoid collision with an object during operation.

Abstract: A system for obstacle detection adapted to a self-guiding machine is provided. The system includes a controller, a linear light source and a light sensor. The linear light source and the light sensor are set apart at a distance. When the linear light source emits an indicator light being a vertical linear light projected onto a path the self-guiding machine travels toward, the light sensor senses the indicator light. The vertical linear light is segmented into a first segment projected to a ground and a second segment projected to a floating obstacle when the self-guiding machine approaches the floating obstacle with a height from the ground and the indicator light is projected to the floating obstacle, in which the second segment of the light sensed by the light sensor is determined as the floating obstacle in front of the self-guiding machine.

Abstract: An optical detection device includes a substrate, a housing, an optical modulating component, an optical sensor and a cover. The housing is disposed on the substrate and includes a first aperture. The housing is unvaried due to inspection standard or design requirement of the optical detection device. The optical modulating component is disposed on the housing and aligning with the first aperture. The optical sensor is disposed on the substrate and adapted to receive an optical signal passing through the optical modulating component and the first aperture. The cover is disposed on the housing to cover the first aperture. The cover is replaceable for attaching the cover varied for the inspection standard or the design requirement to the unvaried housing in response to a surface of the cover opposite to the housing matched and engaged with a light penetrating area on the optical navigation apparatus.

Abstract: Provided are a system and a method for cardiovascular risk prediction, where artificial intelligence is utilized to perform segmentation on non-contrast or contrast medical images to identify precise regions of the heart, pericardium, and aorta of a subject, such that the adipose tissue volume and calcium score can be derived from the medical images to assist in cardiovascular risk prediction. Also provided is a computer readable medium for storing a computer executable code to implement the method.

Abstract: A pressure detection device of detecting a forced state of a deformable object includes a body, an image sensor and a processor. The body is a deformable hollow structure. The body has an inner surface and an outer surface, and an identifiable vision feature is disposed on the inner surface. The image sensor is disposed inside the body and faces the inner surface of the body, and is adapted to capture a frame containing the identifiable vision feature on the inner surface. The processor is electrically connected with the image sensor, and adapted to analyze position variation of the identifiable vision feature within the captured frame for identifying a motion type of a gesture applied to the outer surface of the body.

Abstract: There is provided a moving robot including a first light source module and a second light source module respectively project a first light section and a second light section, which are vertical light sections, in front of a moving direction, wherein the first light section and the second light section cross with each other at a predetermined distance in front of the moving robot so as to eliminate a detection dead zone between the first light source module and the second light source module in front of the moving robot to avoid collision with an object during operation.

Abstract: Provided is a medical image analyzing system and a method thereof, which includes: acquiring a processed image having a segmentation label corresponding to a cancerous part of an organ (if present), generating a plurality of image patches therefrom, performing feature analysis on the image patches and model training to obtain prediction values, drawing a receiver operating characteristic curve using the prediction values, and determining a threshold with which determines whether the image patches are cancerous, so as to effectively improve the detection rate of, for example, pancreatic cancer.

Abstract: There is provided a moving robot including a first light source module and a second light source module respectively project a first light section and a second light section, which are vertical light sections, in front of a moving direction, wherein the first light section and the second light section cross with each other at a predetermined distance in front of the moving robot so as to eliminate a detection dead zone between the first light source module and the second light source module in front of the moving robot to avoid collision with an object during operation.