Výsledky vyhledávání - "Han-Sung Lee"

Akademický článek

Investigating Effective Data Augmentation Techniques for Accurate Gastric Classification in the Development of a Deep Learning-Based Computer-Aided Diagnosis System

Autor: Jae-beom Park, Han-sung Lee, Hyun-chong Cho

Publikováno v: Applied Sciences, Vol 13, Iss 22, p 12325 (2023)

Gastric cancer is a significant health concern, particularly in Korea, and its accurate detection is crucial for effective treatment. However, a gastroscopic biopsy can be time-consuming and may, thus, delay diagnosis and treatment. Thus, this study

Externí odkaz: https://doaj.org/article/bcdce54a09d443bb9effc2ff9ef64347

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Akademický článek

Improvement of Gastroscopy Classification Performance Through Image Augmentation Using a Gradient-Weighted Class Activation Map

Autor: Hyun-Sik Ham, Han-Sung Lee, Jung-Woo Chae, Hyun Chin Cho, Hyun-Chong Cho

Publikováno v: IEEE Access, Vol 10, Pp 99361-99369 (2022)

Endoscopic specialists performing gastroscopy, which relies on the naked eye, may benefit from a computer-aided diagnosis (CADx) system that employs deep learning. This report proposes utilizing a CADx system to classify normal and abnormal gastric c

Externí odkaz: https://doaj.org/article/9a161bcc58d84811b7947ff2cc476fd6

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Akademický článek

Cattle Weight Estimation Using Fully and Weakly Supervised Segmentation from 2D Images

Autor: Chang-bok Lee, Han-sung Lee, Hyun-chong Cho

Publikováno v: Applied Sciences, Vol 13, Iss 5, p 2896 (2023)

Weight information is important in cattle breeding because it can measure animal growth and be used to calculate the appropriate amount of daily feed. To estimate the weight, we developed an image-based method that does not stress cattle and requires

Externí odkaz: https://doaj.org/article/ea12399193934e33911d3da63ee42e2e

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Akademický článek

Comparison of Pre-Trained YOLO Models on Steel Surface Defects Detector Based on Transfer Learning with GPU-Based Embedded Devices

Autor: Hoan-Viet Nguyen, Jun-Hee Bae, Yong-Eun Lee, Han-Sung Lee, Ki-Ryong Kwon

Publikováno v: Sensors, Vol 22, Iss 24, p 9926 (2022)

Steel is one of the most basic ingredients, which plays an important role in the machinery industry. However, the steel surface defects heavily affect its quality. The demand for surface defect detectors draws much attention from researchers all over

Externí odkaz: https://doaj.org/article/1b3b9528b2e94a4f9f6e803a853c01a7

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Akademický článek

Deep Learning-Based Stroke Disease Prediction System Using Real-Time Bio Signals

Autor: Yoon-A Choi, Se-Jin Park, Jong-Arm Jun, Cheol-Sig Pyo, Kang-Hee Cho, Han-Sung Lee, Jae-Hak Yu

Publikováno v: Sensors, Vol 21, Iss 13, p 4269 (2021)

The emergence of an aging society is inevitable due to the continued increases in life expectancy and decreases in birth rate. These social changes require new smart healthcare services for use in daily life, and COVID-19 has also led to a contactles

Externí odkaz: https://doaj.org/article/7dfb8ac5437043dd8cb80ec466fb6bfc

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Akademický článek

Ulmus davidiana var. japonica Nakai upregulates eosinophils and suppresses Th1 and Th17 cells in the small intestine.

Autor: Han-Sung Lee, Min Seong Jang, Jung-Hwan Kim, Chun-Pyo Hong, Eun-Jung Lee, Eun Ji Jeun, Chan Kim, Eun-Kyung Kim, Kwang-Seong Ahn, Bo-Gie Yang, Kwang Seok Ahn, Young Pyo Jang, Kyoo-Seok Ahn, You-Me Kim, Myoung Ho Jang

Publikováno v: PLoS ONE, Vol 8, Iss 10, p e76716 (2013)

The bark of Ulmus davidiana var. japonica Nakai (Ulmaceae) has been used in traditional Korean medicine for chronic inflammation in the gastrointestinal tract. Here we investigated the frequency and cytokine profile of the major immune cells in the s

Externí odkaz: https://doaj.org/article/275d509ea5794b38a3e69f4aac6c1a2a

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