Abstract: An apparatus for generating a roll map of a merge-wound electrode includes a position measurement device configured to acquire coordinate value data for a longitudinal position of an electrode according to an amount of rotation of the rewinder. The apparatus includes an input device configured to input an input signal indicating a start of merge-winding or an end of merge-winding, a seam detector configured to detect a seam, a reference point detector configured to detect a plurality of reference points of the merge-wound electrode, and a roll map generator configured to generate a roll map for simulating the merge-wound electrode moving in a roll-to-roll state based on the input signal of the input device, and to display the longitudinal coordinate values of the electrode, the electrode coordinate values of the seam, and the electrode coordinate values of the plurality of reference points of the merge-wound electrode on the roll map.

Abstract: Methods and systems for executing tracking and monitoring manufacturing data of a battery are disclosed. One method includes: receiving, by a server system, sensing data of the battery from a sensing system; generating, by the server system, mapping data based on the sensing data; generating, by the server system, identification data of the battery based on the sensing data; generating, by the server system, monitoring data of the battery based on the sensing data, the identification data, and the mapping data; and generating, by the server system, display data for displaying a simulated electrode of the battery on a graphical user interface based on the monitoring data of the battery.

Abstract: Provided is a deep learning based contrast-enhanced (CE) CT image contrast amplifying method and the deep learning based CE CT image contrast amplifying method includes extracting at least one component CT image between a CE component and a non-CE component for an input CE CT image with the input CE CT image as an input to a previously trained deep learning model; and outputting a contrast-amplified CT image with respect to the CE CT image based on the input CE CT image and the at least one extracted component CT image.

Abstract: Provided is a deep learning based accelerated MRI image quality restoring method. The deep learning based accelerated MRI image quality restoring method includes extracting test information from an input accelerated MRI image, selecting at least one deep learning model corresponding to the test information, among a plurality of previously trained deep learning models, and outputting an MRI image with a restored image quality for the input accelerated MRI image with the input accelerated MRI image as an input of at least one selected deep learning model.

Abstract: Provided is a method for CT image denoising based on deep learning, and the method for CT image denoising based on deep learning includes: extracting examination information from an input CT image; selecting at least one deep learning model corresponding to the examination information from multiple previously trained deep learning models; and outputting a CT image denoised from the input CT image by feeding the input CT image into the selected at least one deep learning model.

Abstract: Provided is an apparatus for predicting a disease risk of a metabolic disorder. The apparatus includes: a machine learning model generating unit which generates a machine learning model which learns a degree of a relationship between at least one of a plurality of state variables and genetic information and a disease risk of metabolic disorders with the plurality of state variables including a living condition variable and a health condition variable of a patient with a metabolic disorder, generic information, and the disease risk of the metabolic disorders as inputs; an information input unit which receives a subject state variable and subject genetic information of the subject; and a disease risk predicting unit which predicts a subject disease risk of the subject by applying the subject state variable and the subject genetic information of the subject to the machine learning model.

Abstract: Provided is a method for CT image denoising based on deep learning, and the method for CT image denoising based on deep learning includes: extracting examination information from an input CT image; selecting at least one deep learning model corresponding to the examination information from multiple previously trained deep learning models; and outputting a CT image denoised from the input CT image by feeding the input CT image into the selected at least one deep learning model.

Abstract: Disclosed is a method of producing a high-quality thiourethane-based optical material using a general-purpose polyisocyanate compound. According to the method, the pH of a polythiol compound is adjusted to 3.1 to 7 to prevent the occurrence of whitening, which is a problem of the prior art arising from the dissolution of a pressure-sensitive adhesive from a pressure-sensitive adhesive tape upon lens casting. The pH adjustment increases the reaction rate of a resin composition including the polythiol compound. The use of the polythiol compound whose pH is adjusted enables the production of a thiourethane-based optical material that does not suffer from whitening at the edges of the optical lens and nonuniformity polymerization. Further disclosed are a resin composition for a thiourethane-based optical material, and an optical material including a resin produced by the method.

Abstract: Provided is a denoising method including: generating a synthetic sinogram from an input original CT image; acquiring a noise component from the generated synthetic sinogram; generating a noise component CT image based on the noise component; and reducing noise in the original CT image based on the noise component CT image.

Abstract: Disclosed is a method of storing a thioepoxy compound and a method of preparing a thioepoxy based optical material using the thioepoxy compound. Particularly, a method of preparing a high-quality thioepoxy based optical material having superior color and thermal stability and less time-dependent change, and being colorless and transparent by inhibiting time-dependent change of the thioepoxy compound during storage is disclosed. In addition, a method of storing the thioepoxy compound for an optical material, the thioepoxy compound having a water content of 500 to 2,500 ppm and stored at ?78 to 10° C., and a method of preparing the thioepoxy based optical material, the method including polymerizing a polymerizable composition including the stored thioepoxy compound, are provided. The high-quality thioepoxy based optical material, which is colorless and transparent, prepared according to the present invention may be broadly used in a variety of fields as a substitute for conventional optical materials.

Abstract: Provided is a denoising method including: generating a synthetic sinogram from an input original CT image; acquiring a noise component from the generated synthetic sinogram; generating a noise component CT image based on the noise component; and reducing noise in the original CT image based on the noise component CT image.

Abstract: An apparatus and method are provided including a first segmenter and a second segmenter. The first segmenter is configured to generate a first segmentation result from a medical image using a first segmentation parameter for a candidate lesion. The second segmenter is configured to determine a target lesion to segment from among the candidate lesion based on the first segmentation result, and generate a second segmentation result using a second segmentation parameter to segment the target lesion.

Abstract: The present invention relates to novel methods for preparing a polythiol compound for use in an optical material and polymerizable compositions including a polythiol compound prepared by the methods. According to the methods, a polythiol compound with uniform color, high purity and high quality can be prepared at reduced cost. The polymerizable compositions can be used to manufacture clear, transparent optical lenses with good heat resistance and excellent optical properties.

Abstract: Disclosed is an automated mammographic density estimation method using statistical image information, the method including a preprocessing step of reading the mammogram, segmenting a breast area and shifting pixel values; a step of constructing a tissue probability map in which population-based probability information is extracted, and a probability map for glandular and adipose tissues is constructed; and a density estimation step in which a breast area is segmented based on the constructed tissue probability map and a mammographic density is calculated.

Abstract: The present invention relates to a novel polymerizable composition for an optical material with a high refractive index and a method of preparing the optical material. More particularly, the present invention provides a polymerizable composition for an optical material with a high refractive index, including a compound represented by Formula 1 or 2 and a compound represented by Formula 3 and an optical material, particularly a glass lens, with a high refractive index obtained through polymerization of the polymerizable composition. In addition, the present invention provides a polymerizable composition for a photochromic optical material with a high refractive index composition and a photochromic optical material, particularly a photochromic glass lens, with a high refractive index obtained through polymerization of the polymerizable composition.

Abstract: The present invention relates to a thioepoxy compound for an optical material, a polymerizable composition including the thioepoxy compound, and a method for producing a thioepoxy optical material by polymerization of the polymerizable composition. The polymerizable composition further includes 4.1 to 15% by weight of 2,3-epoxypropyl(2,3-epithiopropyl)sulfide and/or 2,3-epoxypropyl(2,3-epithiopropyl)disulfide. The thioepoxy optical material is free from color instability, demolding, and polymerization imbalance, which are problems encountered in general thioepoxy optical materials.

Abstract: There is provided a method of reducing noise in a medical image while maintaining structure characteristics within the medical image. The method of reducing noise in the medical image includes: a step of estimating the amount of noise at each pixel by using a look-up table that previously stores physical properties of an image capturing device; a step of calculating a structure direction and a signal coherence at each pixel; a step of performing anisotropic smoothing by using an anisotropic smoothing filter kernel that reflects the structure direction and the signal coherence; and a step of obtaining a structure direction and a signal coherence from an image on which the anisotropic smoothing is performed, obtaining an anisotropic smoothing filter kernel that reflects the obtained structure direction and the signal coherence, and performing filtering that reflects statistical properties of the estimated amount of noise.

Abstract: Disclosed is a method of storing a thioepoxy compound and a method of preparing a thioepoxy based optical material using the thioepoxy compound. Particularly, a method of preparing a high-quality thioepoxy based optical material having superior color and thermal stability and less time-dependent change, and being colorless and transparent by inhibiting time-dependent change of the thioepoxy compound during storage is disclosed. In addition, a method of storing the thioepoxy compound for an optical material, the thioepoxy compound having a water content of 500 to 2,500 ppm and stored at ?78 to 10° C., and a method of preparing the thioepoxy based optical material, the method including polymerizing a polymerizable composition including the stored thioepoxy compound, are provided. The high-quality thioepoxy based optical material, which is colorless and transparent, prepared according to the present invention may be broadly used in a variety of fields as a substitute for conventional optical materials.

Abstract: Disclosed is a method of preparing a thiourethane based optical material In particular, a method of preparing a high-quality optical material, which is colorless and transparent and is not deformed, at a high yield without generation of striae, whitening, and microbubbles is disclosed. A method of preparing the thiourethane based optical material according to present invention is characterized in that, before cast polymerization, a polymerizable composition including a polythiol compound and a polyisocyanate compound is treated at a specific vacuum condition and then injected into a mold. A thiourethane based optical material prepared according to the present invention may be widely used in a variety of fields as a substitute of conventional optical materials.

Abstract: A method of preparing an optical material by polymerizing a resin composition including a thiol group-containing compound and an isocyanate group-containing compound, particularly, a method of preparing a high-quality urethane-based optical material using a universal polyisocyanate compound. According to one aspect, a resin composition including a polythiol compound and a widely available polyisocyanate compound, as main components, and having a moisture content of 300 to 3,000 ppm is template-polymerized to prepare the optical material. A colorless, transparent, and high-quality urethane-based optical material may be efficiently prepared in high yield using a low-cost and widely available isocyanate compound through template-polymerization using a tape while minimizing generation of white tape residues and foaming.