SUPER-RESOLUTION MEDICAL IMAGE GENERATION APPARATUS AND METHOD

WIPO Patent Application WO/2022/239897

A1

A super-resolution medical image generation apparatus (100) according to the present invention comprises: a data set management unit (200) for managing a data set (210) including multiple images including a high-resolution original image (211), a low-resolution conversion image (212), a primary super-resolution conversion image (213), a secondary super-resolution conversion image (214), a low-resolution original image (215), and a super-resolution reconstruction image (216); a training model (300) including a generator (310) and a discriminator (320); and a training unit (400) for training the generator (310) through prior training and training the generator (310) and the discriminator (320) through main training which proceeds after the prior training, wherein the data set management unit (200) comprises a preprocessing unit (220) for converting the high-resolution original image (211) into the low-resolution conversion image (212).

LEE WON SEOP (KR)
AHN JAE HYUN (KR)
PARK GANG IN (KR)
SONG MYUNG SEO (KR)

PCT/KR2021/006386

November 17, 2022

May 21, 2021

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CNAI CO LTD (KR)

G06T3/40

WO2019209820A1

2019-10-31

KR20190040586A	2019-04-19
KR20200101493A	2020-08-28
KR20200084434A	2020-07-13

SEO JEONG-IN: "Very Low Resolution Object Recognition using Deep Collaborative Learning of Image Enhancement and Classification", PHD THESIS, 1 August 2019 (2019-08-01), KR, pages 1 - 93, XP009541077

SHIN, Moo Yun (KR)

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