Abstract: Machine logic (for example, software) for registering multiple medical images, each showing a common lesion, with each other. In performing this registration, registration points are chosen to be both: (i) outside of image portion that is potentially compromised by the lesion (in any of the multiple images); and (ii) as close to the lesion as possible. However, in at least one of the images the extent of the lesion is not known—so, in order to accommodate this uncertainty about the lesion boundaries, lesion predicting machine logic rules are used to predict the size, shape and/or location of the lesion. Machine learning is used to intermittently adjust and improve the lesion predicting machine logic rules.

Abstract: A method of manufacturing a molded product includes: performing molding for forming a product; performing insulation for coating an insulation material on a plating-unnecessary region of the product, excluding a plating-necessary region of the product, after mounting the product on a masking jig for plating formed to cover the plating-necessary region of the product and to expose the plating-unnecessary region of the product; and performing plating for forming a plating layer on the plating-necessary region, excluding the plating-unnecessary region coated with the insulation material, by electroplating the product coated with the insulation material.

Abstract: Topological evolution of a lesion within a time series of medical imagery is provided. In various embodiments, a time series of medical images is read. Each of the images depicts a subject anatomy and a lesion. The lesion has a size and a contour within each of the medical images. At least one anatomical label is read for the subject anatomy within each of the plurality of images. Based upon the contour of the lesion within each of the medical images and based on the at least one anatomical label, a further contour of the lesion is predicted outside of the time series.

Abstract: A system on chip includes first to third nanowires extending in a second direction, first to third gate lines respectively surrounding the first to third nanowires, each of the first to third gate lines extending in a first direction across the second direction, a gate isolation region cutting the first to third gate lines and extending in the second direction, a first gate contact formed on the second gate line arranged between the first gate line and the third gate line, and electrically connecting the cut second gate line, a second gate contact formed on the first gate line, a third gate contact formed on the third gate line, a first metal line electrically connecting the second gate contact and the third gate contact; and a second metal line electrically connected to the first gate contact.

Abstract: The present invention relates to a method for converting heavy oil by means of high dispersion of asphaltenes, comprising the steps of: preparing a mixture by mixing an amphiphilic additive and the heavy oil; and performing a hydrogenation reaction on the mixture, wherein the amphiphilic additive comprises both a polar group and a nonpolar group.

Abstract: An electronic device is provided. The electronic device includes a touchscreen, at least one processor electrically connected with the touchscreen, and a memory electrically connected with the processor. The memory may store instructions executed to enable the at least one processor to display a first window for running a first application and a second window for running a second application on the touchscreen, display a virtual keypad on a portion of the first window and a portion of the second window corresponding to a first input to a focused window of the first window and the second window, and vary a size of the virtual keypad corresponding to a second input to the virtual keypad.

Abstract: A system for generating simulated body parts for images may include a body part recognition convolutional neural network (CNN) to recognize a body part in an input image. The body part recognition CNN may be trained using first training data including training images including body parts contained in the input image being identified. The system may also include a body part generative adversarial network (GAN) to complete an image of the body part in the input image based on a body part identification output by the body part recognition CNN. The body part GAN may be trained using second training data including at least partial training images.

Abstract: Evaluation of segmentation of medical imagery is provided. In various embodiments, a candidate segmentation of a medical image of an anatomical feature is received. The candidate segmentation is provided to a first trained classifier. An indication is received from the first trained classifier of the accuracy of the candidate segmentation based on one or more feature of the candidate segmentation. One or more prior segmentation of a prior medical image of the anatomical feature is received. The candidate segmentation and the one or more prior segmentation are provided to a second trained classifier. An indication is received from the second trained classifier of the accuracy of the candidate segmentation based on one or more feature of the one or more prior segmentation.

Abstract: The technical objective of the present invention is to provide a foldable container enabling the entire height of a folded state thereof to be one fifth of the entire height of the state of being folded, such that the height of an international standard container can be satisfied even though empty containers are stacked in five stages.

Abstract: The present invention relates to isoxazole derivatives, including pharmaceutical compositions and for the preparation of isoxazole derivatives. And more particularly the present invention provided a pharmaceutical composition of isoxazole derivatives for activation of Farnesoid X receptor (FXR, NR1H4).

Abstract: Machine logic (for example, software) for registering multiple medical images, each showing a common lesion, with each other. In performing this registration, registration points are chosen to be both: (i) outside of image portion that is potentially compromised by the lesion (in any of the multiple images); and (ii) as close to the lesion as possible. However, in at least one of the images the extent of the lesion is not known—so, in order to accommodate this uncertainty about the lesion boundaries, lesion predicting machine logic rules are used to predict the size, shape and/or location of the lesion. Machine learning is used to intermittently adjust and improve the lesion predicting machine logic rules.

Abstract: Topological evolution of a lesion within a time series of medical imagery is provided. In various embodiments, a time series of medical images is read. Each of the images depicts a subject anatomy and a lesion. The lesion has a size and a contour within each of the medical images. At least one anatomical label is read for the subject anatomy within each of the plurality of images. Based upon the contour of the lesion within each of the medical images and based on the at least one anatomical label, a further contour of the lesion is predicted outside of the time series.

Abstract: A method is provided. The method includes forming a first to third gate lines on a substrate, the second gate line formed between the first and third gate lines; forming a gate isolation region to cut the first to third gate lines into two first sub gate lines, two second sub gate lines and two third sub gate lines, respectively; forming a first gate contact on one of the two first sub gate lines; forming a second gate contact on the two second sub gate lines; forming a third gate contact on one of the two third sub gate lines; forming a first metal line to connect the first and third gate contacts; and forming a second metal line. The first to third gate lines extend in a first direction, and the gate isolation region extends in a second direction different from the first direction.

Abstract: A medical registration training component executing within a medical registration system performs a training medical registration operation on a pair of medical studies. Responsive to the medical registration training system determining that the training medical registration operation succeeds, the medical registration training system records a medical registration instance for the pair of medical studies in a medical registration history and marks the medical registration instance as a positive instance in the medical registration history. Responsive to the medical registration training system determining that the training medical registration operation requires correction, the medical registration training system records a medical registration instance for the pair of medical studies in the medical registration history and marks the medical registration instance as a negative instance in the medical registration history.

Abstract: An electronic device is provided. The electronic device includes a touchscreen, at least one processor electrically connected with the touchscreen, and a memory electrically connected with the processor. The memory may store instructions executed to enable the at least one processor to display a first window for running a first application and a second window for running a second application on the touchscreen, display a virtual keypad on a portion of the first window and a portion of the second window corresponding to a first input to a focused window of the first window and the second window, and vary a size of the virtual keypad corresponding to a second input to the virtual keypad.

Abstract: Topological evolution of a lesion within a time series of medical imagery is provided. In various embodiments, a time series of medical images is read. Each of the images depicts a subject anatomy and a lesion. The lesion has a size and a contour within each of the medical images. At least one anatomical label is read for the subject anatomy within each of the plurality of images. Based upon the contour of the lesion within each of the medical images and based on the at least one anatomical label, a further contour of the lesion is predicted outside of the time series.

Abstract: An image forming method and apparatus, includes setting a processing order of a plurality of operations of a same image data and detailed setup information of the plurality of operations, and executing the plurality of operations using the detailed setup information according to the set processing order.

Abstract: Provided is a method including providing a text creation interface in response to an execution of a text application; receiving an input signal for selecting content during a text creation process using the text creation interface; uploading the selected content to a cloud storage; and transmitting a text message including route information about a route accessible to the uploaded content to a counter party terminal. If a file capacity of the selected content is greater than or equal to a reference capacity, the selected content is uploaded to the cloud storage in response to a user request and the route information is automatically created and included in the text message.

Abstract: An electronic device is provided. The electronic device includes a touchscreen, at least one processor electrically connected with the touchscreen, and a memory electrically connected with the processor. The memory may store instructions executed to enable the at least one processor to display a first window for running a first application and a second window for running a second application on the touchscreen, display a virtual keypad on a portion of the first window and a portion of the second window corresponding to a first input to a focused window of the first window and the second window, and vary a size of the virtual keypad corresponding to a second input to the virtual keypad.

Abstract: A probe system for real-time quantitative and qualitative analysis of a biomaterial, and a reaction chamber with the probe system, and an analysis method thereof are provided. The probe system, which is included in the reaction chamber having an optically transmissive flat bottom surface and having a test sample accommodated therein, includes a target probe-reporter probe linker accommodated in the reaction chamber and including a target probe, which includes a sequence complementary to a target nucleic acid sequence to be detected, a first fluorophore and a first quencher, and a reporter probe linked to an end of the target probe and including a sequence non-complementary to the target nucleic acid sequence, and a capture probe included in a biochip formed on a bottom surface of the reaction chamber and including a complementary sequence hybridizable with the non-complementary sequence of the reporter probe, a second fluorophore and a second quencher.