Yonsei University

Lg Household & Health Care Ltd.

D&p Biotech Ltd.

Do Sik Hwang

Doo Hyun Park

Tae Seong Kim

Se Won Kim

Tae Joon Eo

Do Hyuk Kwon

Yo Han Jun

Ki Hun Bang

Se Won Hwang

Sungjun Kim

Myung Hoon Lee

Sang Eun Kim

In Yong Park

Jin Seong Jang

Sang Eon Kim

Young Han Lee

Sun Gon Jun

Dae Joong Oh

Jun Sik Eom

Han Byol Jang

Disclosed is a method of predicting a prognosis of a patient with adenocarcinoma using image features. The method of predicting a prognosis according to an embodiment of the present invention includes receiving an image including a lesion region of a patient, preprocessing the received image, segmenting the lesion region in the preprocessed image and calculating at least one of biomarkers indicating an intensity value and a texture information value within the segmented lesion region, and outputting a prognosis prediction value of the patient on the basis of the calculated at least one biomarker.

Method of predicting prognosis of patient with adenocarcinoma using image feature

A neural waveform distinguishment apparatus includes: a neural waveform obtainment unit that obtains multiple neural waveforms in a pre-designated manner from neural signals sensed by way of at least one electrode; a preprocessing unit that obtains multiple gradient waveforms by calculating pointwise slopes in each of the neural waveforms; a feature extraction unit comprising an encoder ensemble composed of multiple encoders, which have a pattern estimation method learned beforehand and include different numbers of hidden layers, where the feature extraction unit obtains multiple codes as multiple features extracted by the encoders respectively from the gradient waveforms and concatenates the codes extracted by the encoders respectively to extract a feature ensemble for each of the gradient waveforms; and a clustering unit that distinguishes the neural waveforms corresponding respectively to the gradient waveforms by clustering the feature ensembles extracted respectively in correspondence to the gradient waveforms according to a pre-designated clustering technique.

Apparatus and method for distinguishing neural waveforms

The disclosed technology relates to a method and device for generating a fat suppression magnetic resonance image. The method includes: inputting, by an imaging device, a magnetic resonance image to an encoder of a neural network to extract features of the magnetic resonance image; and generating, by a generator of the neural network, a T2-weighted fat suppression image based on the features, in which the neural network is trained according to a result of discriminating, by a discriminator of the neural network, a loss due to a generation of a T2-weighted fat suppression image and as a result of reconstructing, by a decoder, the magnetic resonance image input to the encoder using a Bloch equation before the magnetic resonance image is input.

Method and device for generating fat suppression magnetic resonance image using generative adversarial neural network based on the Bloch equation

A makeup evaluation system can include a mobile terminal for photographing an image and transmitting the photographed image to a makeup server; and a makeup server including a make-up DB management unit for storing at least one algorithm used for make-up evaluation, a region detection unit for detecting a face region in the photographed image, a makeup analysis unit for evaluating makeup by applying the stored algorithm to the detected face region, and a wireless communication unit for transmitting an evaluation result signal including information on the result of evaluating the makeup to the mobile terminal, in which the mobile terminal displays the evaluation result according to a received evaluation result signal, and the makeup server evaluates makeup by applying different algorithms for each face region.

Makeup evaluation system and operating method thereof

A makeup evaluation system according to an embodiment of the present invention includes a mobile terminal for photographing a facial image and transmitting the photographed facial image to a makeup server, and the makeup server for storing makeup score data and, when receiving the facial image from the mobile terminal, detecting at least one face region in the facial image, calculating a makeup score for each of the detected face regions on the basis of the makeup score data, and transmitting the calculated makeup score to the mobile terminal.

A method and an apparatus for adjusting the parameters of a magnetic resonance image are disclosed. An embodiment of the invention provides a method for adjusting a parameter at an imaging device that includes: (a) obtaining and storing MR (magnetic resonance) data; (b) calculating a constant by using the MR data; and (c) outputting a magnetic resonance image having a different contrast in real time, when a user manipulation is inputted, by using the constant and a parameter adjusted according to the manipulation.

Method and apparatus for adjusting the parameters of a magnetic resonance image

A denoising method and apparatus for multi-contrast MRI's are disclosed. An aspect of the invention provides a denoising method for an MRI that includes: acquiring multiple MRI's having different contrast levels for the same site; determining pixels corresponding to the same tissue by using the MRI's; and calculating a new luminance value for the pixels by using luminance values of the pixels that are determined to be belonging to the same tissue.

Denoising method and apparatus for multi-contrast MRI

A method and apparatus for envelope detection are disclosed. An envelope detection method according to an embodiment of the invention can include: receiving ultrasonic signals reflected off a target object; detecting peaks by using differences in pulses in the received signals; and generating an envelope by connecting the detected peaks with straight or curved lines.

Growing community of inventors

Seoul, South Korea

Do Sik Hwang